Dissertations / Theses: 'Multiple criteria analysis'

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Chen, Ye. "Multiple Criteria Decision Analysis: Classification Problems and Solutions." Thesis, University of Waterloo, 2006. http://hdl.handle.net/10012/2892.

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Multiple criteria decision analysis (MCDA) techniques are developed to address challenging classification problems arising in engineering management and elsewhere. MCDA consists of a set of principles and tools to assist a decision maker (DM) to solve a decision problem with a finite set of alternatives compared according to two or more criteria, which are usually conflicting. The three types of classification problems to which original research contributions are made are

Screening: Reduce a large set of alternatives to a smaller set that most likely contains the best choice.
Sorting: Arrange the alternatives into a few groups in preference order, so that the DM can manage them more effectively.
Nominal classification: Assign alternatives to nominal groups structured by the DM, so that the number of groups, and the characteristics of each group, seem appropriate to the DM.

Research on screening is divided into two parts: the design of a sequential screening procedure that is then applied to water resource planning in the Region of Waterloo, Ontario, Canada; and the development of a case-based distance method for screening that is then demonstrated using a numerical example.

Sorting problems are studied extensively under three headings. Case-based distance sorting is carried out with Model I, which is optimized for use with cardinal criteria only, and Model II, which is designed for both cardinal and ordinal criteria; both sorting approaches are applied to a case study in Canadian municipal water usage analysis. Sorting in inventory management is studied using a case-based distance method designed for multiple criteria ABC analysis, and then applied to a case study involving hospital inventory management. Finally sorting is applied to bilateral negotiation using a case-based distance model to assist negotiators that is then demonstrated on a negotiation regarding the supply of bicycle components.

A new kind of decision analysis problem, called multiple criteria nominal classification (MCNC), is addressed. Traditional classification methods in MCDA focus on sorting alternatives into groups ordered by preference. MCNC is the classification of alternatives into nominal groups, structured by the DM, who specifies multiple characteristics for each group. The features, definitions and structures of MCNC are presented, emphasizing criterion and alternative flexibility. An analysis procedure is proposed to solve MCNC problems systematically and applied to a water resources planning problem.

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Sobrie, Olivier. "Learning preferences with multiple-criteria models." Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLC057/document.

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L’aide multicritère à la décision (AMCD) vise à faciliter et améliorer la qualité du processus de prise de décision. Les méthodes d’AMCD permettent de traiter les problèmes de choix, rangement et classification. Ces méthodes impliquent généralement la construction d’un modèle. Déterminer les valeurs des paramètres de ces modèles n’est pas aisé. Les méthodes d’apprentissage indirectes permettent de simplifier cette tâche en apprenant les paramètres du modèle de décision à partir de jugements émis par un décideur tels que “l’alternative a est préférée à l’alternative b” ou “l’alternative a doit être classifiée dans la meilleure catégorie”. Les informations données par le décideur sont généralement parcimonieuses. Le modèle d’AMCD est appris au cours d’un processus interactif entre le décideur et l’analyste. L’analyste aide le décideur à formuler et revoir ses jugements si nécessaire. Le processus s’arrête une fois qu’un modèle satisfaisant les préférences du décideur a été trouvé. Le “preference learning” (PL) est un sous domaine du “machine learning” qui s’intéresse à l’apprentissage des préférences. Les algorithmes de ce domaine sont capables de traiter de grands jeux de données et sont validés au moyen de jeux de données artificiels et réels. Les jeux de données traités en PL sont généralement collectés de différentes sources et sont entachés de bruit.Contrairement à l’AMCD, il existe peu ou pas d’interaction avec l’utilisateur en PL. Le jeu de données fourni en entrée à l’algorithme est considéré comme un échantillon éventuellement bruité d’une “réalité” ou “vérité de terrain”. Les algorithmes utilisés dans ce domaine ont des propriétés statistiques fortes leur permettant de s’affranchir du bruit dans ces jeux de données. Dans cette thèse, nous développons des algorithmes d’apprentissage permettant d’apprendre lesparamètres de modèles d’AMCD. Plus précisément, nous développons une métaheuristique afin d’apprendre les paramètres d’un modèle appelé MR-Sort (“majority rule sorting”). Cette métaheuristique est testée sur des jeux de donnéesartificiels et réels utilisés dans le domaine du PL. Nous utilisons cet algorithme afin de traiter un problème concret dans le domaine médical. Ensuite nous modifions la métaheuristique afin d’apprendre les paramètres d’un modèle plus expressif appelé NCS (“non-compensatory sorting”). Finalement, nous développons un nouveau type de règle de veto pour les modèles MR-Sort et NCS qui permet de prendre les coalitions de critères en compte. La dernière partie de la thèse introduit les méthodes d’optimisation semi-définie positive (SDP) dans le contexte de l’aide multicritère à la décision. Précisément, nous utilisons l’optimisation SDP afin d’apprendre les paramètres d’un modèle de fonction de valeur additive
Multiple-criteria decision analysis (MCDA) aims at providing support in order to make a decision. MCDA methods allow to handle choice, ranking and sorting problems. These methods usually involve the elicitation of models. Eliciting the parameters of these models is not trivial. Indirect elicitation methods simplify this task by learning the parameters of the decision model from preference statements issued by the decision maker (DM) such as “alternative a is preferred to alternative b” or “alternative a should be classified in the best category”. The information provided by the decision maker are usually parsimonious. The MCDA model is learned through an interactive process between the DM and the decision analyst. The analyst helps the DM to modify and revise his/her statements if needed. The process ends once a model satisfying the preferences of the DM is found. Preference learning (PL) is a subfield of machine learning which focuses on the elicitation of preferences. Algorithms in this subfield are able to deal with large data sets and are validated withartificial and real data sets. Data sets used in PL are usually collected from different sources and aresubject to noise. Unlike in MCDA, there is little or no interaction with the user in PL. The input data set is considered as a noisy sample of a “ground truth”. Algorithms used in this field have strong statistical properties that allow them to filter noise in the data sets.In this thesis, we develop learning algorithms to infer the parameters of MCDA models. Precisely, we develop a metaheuristic designed for learning the parameters of a MCDA sorting model called majority rule sorting (MR-Sort) model. This metaheuristic is assessed with artificial and real data sets issued from the PL field. We use the algorithm to deal with a real application in the medical domain. Then we modify the metaheuristic to learn the parameters of a more expressive model called the non-compensatory sorting (NCS) model. After that, we develop a new type of veto rule for MR-Sort and NCS models which allows to take criteria coalitions into account. The last part of the thesis introduces semidefinite programming (SDP) in the context of multiple-criteria decision analysis. We use SDP to learn the parameters of an additive value function model

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Raboun, Oussama. "Multiple Criteria Spatial Risk Rating." Thesis, Paris Sciences et Lettres (ComUE), 2019. http://www.theses.fr/2019PSLED066.

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La thèse est motivée par une étude de cas intéressante liée à l’évaluation du risque nucléaire. Le cas d’étude consiste à évaluer l’impact d’un accident nucléaire survenu dans le milieu marin. Ce problème comporte des caractéristiques spatiales, différents enjeux économiques et environnementaux, des connaissances incomplètes sur les potentiels acteurs et un nombre élevé de scénarios d’accident possibles. Le cas d’étude a été résolu en utilisant différentes techniques d’analyse décisionnelle telles que la comparaison des loteries et les outils MCDA (Multiple Criteria Decision Analysis).Une nouvelle méthode de classification ordinale, nommée Dynamic-R, est née de cette thèse, visant à fournir une notation complète et convaincante. La méthode développée a fourni des résultats intéressants au cas d’étude et des propriétés théoriques très intéressantes qui sont présenté dans les chapitres 6 et 7 de ce manuscrit
The thesis is motivated by an interesting case study related to environmental risk assessment. The case study problem consists on assessing the impact of a nuclear accident taking place in the marine environment. This problem is characterized by spatial characteristics, different assets characterizing the spatial area, incomplete knowledge about the possible stakeholders, and a high number of possible accident scenarios. A first solution of the case study problem was proposed where different decision analysis techniques were used such as lotteries comparison, and MCDA (Multiple Criteria Decision Analysis) tools. A new MCDA rating method, named Dynamic-R, was born from this thesis, aiming at providing a complete and convincing rating. The developed method provided interesting results to the case study, and very interesting theoretical properties that will be presented in chapters 6 and 7 of this manuscript

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Levy, Jason K. "Computer support for environmental multiple criteria decision analysis under uncertainty." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/NQ60552.pdf.

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Belton, V. "A comparative study of methods for multiple criteria decision aiding." Thesis, University of Cambridge, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.377201.

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Imam, Bisher. "Nonlinear uncertainty analysis for multiple criteria natural resource decision support systems." Diss., The University of Arizona, 1994. http://hdl.handle.net/10150/186949.

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The effects of uncertainties on the simulation component and the decision component of the USDA-ARS Water Quality Decision Support System (WQDSS) are studied. For the simulation component, a generalized second order covariance propagation equation for multiple response models is developed to account for model nonlinearities and complexities. The equation permits the calculation of the covariance matrix of several model responses as a function of their first and second order sensitivities to variations in model parameters and the cross moments of the parameter vector. The equation is complemented by developing an applied approach that aims to identify model nonlinearities, isolate response discontinuities, and simplify the computational efforts associated with analytical uncertainty analysis. As for the decision component, a generalized closed form solution of the WQDSS's decision model is derived to allow consideration of a vector of quantitative scale factors. The factors indicate the relative importance of the studied decision criteria. A procedure that is based on computing these scale factors and assigning importance orders proportional to the effects of the uncertainties on the scoring function transformation of the individual criteria is also developed and tested. To test the methodology, the covariance matrix of twelve model responses is estimated based on uncertainties in sixteen soil related parameters using (a) direct simulation, (b) first order propagation and (c) second order propagation. Comparing the first and second order propagated matrices to those resulting from actual simulations of four agricultural management systems attests to the superiority of the second order equation. The effects of uncertainties on the decision recommendations are identified through experimental combinations of three different importance orders and four possible alternative ranking schemes. Two of the importance orders and their associated scale factors are based on the uncertainties in evaluating decision criteria. The ranking methods are based on varying the point at which averaging of the data takes place with respect to the decision process. Results indicate that the decision model is less sensitive to changes in the point of averaging than it is with respect to variations in the importance orders and the scale factors.

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Cabrera, Rios Mauricio. "MULTIPLE CRITERIA OPTIMIZATION STUDIES IN REACTIVE IN-MOLD COATING." The Ohio State University, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=osu1022105843.

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Løken, Espen. "Multi-Criteria Planning of Local Energy Systems with Multiple Energy Carriers." Doctoral thesis, Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-1490.

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Background and Motivation

Unlike what is common in Europe and the rest of the world, Norway has traditionally met most of its stationary energy demand (including heating) with electricity, because of abundant access to hydropower. However, after the deregulation of the Norwegian electricity market in the 1990s, the increase in the electricity generation capacity has been less than the load demand increase. This is due to the relatively low electricity prices during the period, together with the fact that Norway’s energy companies no longer have any obligations to meet the load growth. The country’s generation capacity is currently not sufficient to meet demand, and accordingly, Norway is now a net importer of electricity, even in normal hydrological years. The situation has led to an increased focus on alternative energy solutions.

It has been common that different energy infrastructures – such as electricity, district heating and natural gas networks – have been planned and commissioned by independent companies. However, such an organization of the planning means that synergistic effects of a combined energy system to a large extent are neglected. During the last decades, several traditional electricity companies have started to offer alternative energy carriers to their customers. This has led to a need for a more comprehensive and sophisticated energy-planning process, where the various energy infrastructures are planned in a coordinated way. The use of multi-criteria decision analysis (MCDA) appears to be suited for coordinated planning of energy systems with multiple energy carriers. MCDA is a generic term for different methods that help people make decisions according to their preferences in situations characterized by multiple conflicting criteria.

The thesis focuses on two important stages of a multi-criteria planning task:

- The initial structuring and modelling phase

- The decision-making phase

The Initial Structuring and Modelling Phase

It is important to spend sufficient time and resources on the problem definition and structuring, so that all disagreements among the decision-maker(s) (DM(s)) and the analyst regarding the nature of the problem and the desired goals are eliminated. After the problem has been properly identified, the next step of a multi-criteria energy-planning process is the building of an energy system model (impact model). The model is used to calculate the operational attributes necessary for the multi-criteria analysis; in other words, to determine the various alternatives’ performance values for some or all of the criteria being considered. It is important that the model accounts for both the physical characteristics of the energy system components and the complex relationships between the system parameters. However, it is not propitious to choose/build an energy system model with a greater level of detail than needed to achieve the aims of the planning project.

In my PhD research, I have chosen to use the eTransport model as the energy system model. This model is especially designed for planning of local and regional energy systems, where different energy carriers and technologies are considered simultaneously. However, eTransport can currently provide information only about costs and emissions directly connected to the energy system’s operation. Details about the investment plans’ performance on the remaining criteria must be found from other information sources. Guidelines should be identified regarding the extent to which different aspects should be accounted for, and on the ways these impacts can be assessed for each investment plan under consideration. However, it is important to realize that there is not one solution for how to do this that is valid for all kind of local energy-planning problems. It is therefore necessary for the DM(s) and the analyst to discuss these issues before entering the decision-making phase.

The Decision-Making Phase

Two case studies have been undertaken to examine to what extent the use of MCDA is suitable for local energy-planning purposes. In the two case studies, two of the most well-known MCDA methods, the Multi-Attribute Utility Theory (MAUT) and the Analytical Hierarchy Process (AHP), have been tested. Other MCDA methods, such as GP or the outranking methods, could also have been applied. However, I chose to focus on value measurement methods as AHP and MAUT, and have not tested other methods. Accordingly, my research cannot determine if value measurement methods are better suited for energy-planning purposes than GP or outranking methods are.

Although all MCDA methods are constructed to help DMs explore their ‘true values’ – which theoretically should be the same regardless of the method used to elicit them – our experiments showed that different MCDA methods do not necessarily provide the same results. Some of the differences are caused by the two methods’ different ways of asking questions, as well as the DMs’ inability to express clearly their value judgements by using one or both the methods. In particular, the MAUT preference-elicitation procedure was difficult to understand and accept for DMs without previous experience with the utility concept. An additional explanation of the differences is that the external uncertainties included in the problem formulation are better accounted for in MAUT than in AHP. There are also a number of essential weaknesses in the theoretical foundation of the AHP method that may have influenced the results using that method. However, the AHP method seems to be preferred by DMs, because the method is straightforward and easier to use and understand than the relatively complex MAUT method.

It was found that the post-interview process is essential for a good decision outcome. For example, the results from the preference aggregation may indicate that according to the DM’s preferences, a modification of one of the alternatives might be propitious. In such cases, it is important to realize that MCDA is an iterative process. The post-interview process also includes presentation and discussion of results with the DMs. Our experiments showed that the DMs might discover inconsistencies in the results; that the results do not reflect the DM’s actual preferences for some reason; or that the results simply do not feel right. In these cases, it is again essential to return to an earlier phase of the MCDA process and conduct a new analysis where these problems or discrepancies are taken into account.

The results from an MAUT analysis are usually presented to the DMs in the form of expected total utilities given on a scale from zero to one. Expected utilities are convenient for ranking and evaluation of alternatives. However, they do not have any direct physical meaning, which quite obviously is a disadvantage from an application point of view. In order to improve the understanding of the differences between the alternatives, the Equivalent Attribute Technique (EAT) can be applied. EAT was tested in the first of the two case studies. In this case study, the cost criterion was considered important by the DMs, and the utility differences were therefore converted to equivalent cost differences. In the second case study, the preference elicitation interviews showed, quite surprisingly, that cost was not considered among the most important criteria by the DMs, and none of the other attributes were suitable to be used as the equivalent attribute. Therefore, in this case study, the use of EAT could not help the DMs interpreting the differences between the alternatives.

Summarizing

For MCDA to be really useful for actual local energy planning, it is necessary to find/design an MCDA method which: (1) is easy to use and has a transparent logic; (2) presents results in a way easily understandable for the DM; (3) is able to elicit and aggregate the DMs' real preferences; and (4) can handle external uncertainties in a consistent way.

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Brestovac, Goran, and Robi Grgurina. "Applying Multi-Criteria Decision Analysis Methods in Embedded Systems Design." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-22013.

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In several types of embedded systems the applications are deployed both as software and as hardware components. For such systems, the partitioning decision is highly important since the implementation in software or hardware heavily influences the system properties. In the industry, it is rather common practice to take deployment decisions in an early stage of the design phase and based on a limited number of aspects. Often such decisions are taken based on hardware and software designers‟ expertise and do not account the requirements of the entire system and the project and business development constraints. This approach leads to several disadvantages such as redesign, interruption, etc. In this scenario, we see the need of approaching the partitioning process from a multiple decision perspective. As a consequence, we start by presenting an analysis of the most important and popular Multiple Criteria Decision Analysis (MCDA) methods and tools. We also identify the key requirements on the partitioning process. Subsequently, we evaluate all of the MCDA methods and tools with respect to the key partitioning requirements. By using the key partitioning requirements the methods and tools that the best suits the partitioning are selected. Finally, we propose two MCDA-based partitioning processes and validate their feasibility thorough an industrial case study.

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MILZ, GEOFFREY G. "Beyond Ad-Hoc: An Application of Multiple Criteria Decision Analysis in Emergency Planning and Response." University of Cincinnati / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1212072805.

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Maier, Konradin, and Volker Stix. "A Semi-Automated Approach for Structuring Multi Criteria Decision Problems." Elsevier, 2013. http://dx.doi.org/10.1016/j.ejor.2012.10.018.

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This article seeks to enhance multi criteria decision making by providing a scientic approach for decomposing and structuring decision problems. We propose a process, based on concept mapping, which integrates group creativity techniques, card sorting procedures, quantitative data analysis and algorithmic automatization to construct meaningful and complete hierarchies of criteria. The algorithmic aspect is covered by a newly proposed recursive cluster algorithm, which automatically generates hierarchies from card sorting data. Based on comparison with another basic algorithm and empirical engineered and real-case test data, we validate that our process efficiently produces reasonable hierarchies of descriptive elements like goal- or problem-criteria. (authors' abstract)

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Pereira, Jose Miguel Oliveira Cardoso 1959. "Siting an astronomical observatory in an environmentally sensitive area: A multiple criteria location analysis." Thesis, The University of Arizona, 1987. http://hdl.handle.net/10150/276645.

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Mount Graham, in Southern Arizona supports valuable, ecological communities and at least one endangered species, the Mt. Graham red squirrel. The area is managed by the U.S. Forest Service. Elevation, dryness, sky clarity and freedom from light pollution at Mt. Graham make it a desirable site for astronomy. The University of Arizona presented a proposal to the Forest Service for the development of a multi-telescope observatory on the mountain. This has generated much controversy due to the opposition of environmentalists who fear the potential impacts of development on the mountain. Eleven potential sites for astrophysical development have been identified, with varying impacts on the ecosystem. They are ranked according to their suitability for development, using multiple criteria decision making techniques. The results are very consistent and robust, both within and across techniques and can be useful for decision support and conflict management purposes.

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Pereira, Osvaldo L. Soliano. "Rural electrification and multiple criteria analysis : study of the State of Bahia, in Brazil." Thesis, Imperial College London, 1992. http://hdl.handle.net/10044/1/7572.

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Kravatzky, Axel. "Use of multiple criteria decision analysis for the development of adaptive fishery management strategies : the case of the Danube Delta Biosphere Reserve." Thesis, London School of Economics and Political Science (University of London), 2001. http://etheses.lse.ac.uk/2254/.

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Fishery managers face two problems that are endemic to all renewable resource management: how much of the resource should be extracted, and how should resource users be managed to ensure efficiency and fairness. The predominant fishery management approach addresses these problems through fish stock assessment and resource economics. However, my review of the literature and analysis of the situation in the Danube Delta Biosphere Reserve show that both methodologies face serious difficulties: they deal inadequately with uncertainties about the causes of observed behaviour and the likely effects of different policies; they are too focused on readily measurable objectives; and they do not address the effects of the institutional context on management. In Chapter 3, I examine previous applications of Multiple Criteria Decision Analysis (MCDA) with a view to see if they can be applied to fishery management. My analysis shows that until now MCDA has been used to address only the first two sets of fishery management problems: systematically incorporating uncertainty and multiple objectives into policy development. I also argue that existing proposals for the use of Decision Analysis can be classified as variations of one version of MCDA, namely Multiple Stakeholder Decision Analysis (MSDA). The main problems that remain to be resolved relate to the interaction between experts, stakeholders, and managers when there are conflicting interpretations of evidence, and situations of high institutional inertia. In Chapter 4, I examine these problems within the context of ecological management experience and New Institutional Economics. I argue that for complex problems, such as those in the Danube Delta, management that aims to attain narrowly defined optimal fishing yields through command and control measures is unfeasable and undesirable. A more promising approach would seek to strengthen resilience, promote organisational variety, and increase the leverage of stakeholders over those who provide services for them. When one seeks to achieve such a transformation of management, I argue that the intervention needs to take into account the specific institutional circumstances of the client. In Chapter 5, I show how management procedures, problem perception, and strategy development are influenced by organisational structure and the hierarchical position of managers. That is why decision analysis interventions must address both technical as well as institutional needs of clients. In Chapter 6, I discuss Decision Conferencing, an alternative MCDA approach, and argue that it is more suitable for dealing with management problems such as those of the Danube Delta Biosphere Reserve. Decision Conferences can provide a structure for expert, manager, and stakeholder interaction and can lead to the transformation of social realities. In Chapters 7 and 8, I review the context and concrete environmental and institutional problems that led to the first Decision Conference on an environmental management problem. I report the processes of the Decision Conference, the agreements reached, and anlyse both the short and medium term effects of the intervention. On the basis of that evidence I make claims about the general utility of the approach. The thesis concludes with proposals to improve Decision Conferencing through a framework that provides guidance for context specific process management and helps to ensure that a requisite variety of viewpoints are incorporated into management strategy development.

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Milz, Geoffrey G. "Beyond Ad-Hoc an application of multiple criteria decision analysis in emergency planning and response /." Cincinnati, Ohio : University of Cincinnati, 2008. http://rave.ohiolink.edu/etdc/view.cgi?acc_num=ucin1212072805.

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Thesis (Master of Community Planning)--University of Cincinnati, 2008.
Advisors: Carla Chifos Ph.D. (Committee Chair), Dan Peterson Ph.D. (Committee Member), Tonya Nichols Ph.D. (Committee Member) Title from electronic thesis title page (Sept. 6, 2008). Includes abstract. Keywords: multiple criteria decision analysis; emergency planning; analytic hierarchy process Includes bibliographical references.

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Fraga, Rafael. "Analysis of criteria for closely-spaced parallel runway approaches applied to a multiple airport system." Instituto Tecnológico de Aeronáutica, 2009. http://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=896.

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In order to increase arrival rates at many of today's heavily congested airports, simultaneous approaches are conducted on parallel runways. For many years, the FAA has permitted simultaneous independent instrument approach operations only for those parallel runways with a minimum separation of 4300 feet. Nowadays, new criteria have been developed to increase the utilization on those runways, where the most recent procedures, called PRM/SOIA (Precision Runway Monitor/Simultaneous Offset Instrument Approach), make simultaneous approaches possible in systems of runways spaced as close as 750 feet. On October 26, 2004, San Francisco International Airport (SFO) implemented this new landing system (PRM/SOIA), allowing the airport to increase the capacity of runways in inclement weather conditions by as much as twenty-five percent. This research analyzes these simultaneous approaches procedures in closely-spaced runways, addressing the potential benefits of the implementation of PRM/SOIA at São Paulo/Guarulhos Aeroporto Internacional Governador André Franco Montoro (GRU) with a computer simulation tool, and also the influence of this implementation at other airports inside the same terminal airspace. The results show that this implementation provides decreases in the total airborne flight delays between 45 and 51%, regarding all the instrumental traffic at the terminal airspace analyzed (i.e. the traffic of three airports inside the São Paulo Terminal Area with IFR procedures). We also find an increase of 18% in the arrivals capacity of the TMA-SP by 18%, approximately. However, isolated analysis shows small increases in delays in departure procedures (ground queue) and also for the airborne flight delays at a specific airport (RAMS Plus and ATM Analyzer utilization in this study is in accordance with the Academic Software License Agreement granted by ISA Software Ltd. to ITA).

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Buchannan, Sam Faculty of Science UNSW. "Salinity hazard mapping and risk assessment in the Bourke irrigation district." Publisher:University of New South Wales, 2008. http://handle.unsw.edu.au/1959.4/41451.

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At no point in history have we demanded so much from our agricultural land whilst simultaneously leaving so little room for management error. Of the many possible environmental impacts from agriculture, soil and water salinisation has some of the most long-lived and deleterious effects. Despite its importance, however, land managers are often unable to make informed decisions of how to manage the risk of salinisation due to a lack of data. Furthermore, there remains no universally agreed method for salinity risk mapping. This thesis addresses these issues by investigating new methods for producing high-resolution predictions of soil salinity, soil physical properties and groundwater depth using a variety of traditional and emerging ancillary data sources. The results show that the methodologies produce accurate predictions yielding natural resource information at a scale and resolution not previously possible. Further to this, a new methodology using fuzzy logic is developed that exploits this information to produce high-resolution salinity risk maps designed to aid both agricultural and natural resource management decisions. The methodology developed represents a new and effective way of presenting salinity risk and has numerous advantages over conventional risk models. The incorporation of fuzzy logic provides a meaningful continuum of salinity risk and allows for the incorporation of uncertainty. The method also allows salinity risk to be calculated relative to any vegetation community and shows where the risk is coming from (root-zone or groundwater) allowing more appropriate management decisions to be made. The development of this methodology takes us a step closer to closing what some have called our greatest gap in agricultural knowledge. That is, our ability to manage the salinity risk at the subcatchment scale.

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Sun, Xiaoqian [Verfasser], and Volker [Akademischer Betreuer] Gollnick. "Multiple criteria decision analysis techniques in aircraft design and evaluation processes / Xiaoqian Sun. Betreuer: Volker Gollnick." Hamburg-Harburg : Universitätsbibliothek der Technischen Universität Hamburg-Harburg, 2013. http://d-nb.info/1048573753/34.

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El-Lahham, Christine. "Multiple-criteria optimization of a cold heading process using finite element analysis and a taguchi approach." Thesis, McGill University, 2003. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=80009.

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The current work aims at modeling a three-stage cold heading process of an industrial bolt, and presents a methodology for the optimization of preform die geometries.
The process is modeled using finite element simulations and potential defects in the heading process are analyzed using external and internal crack criteria. The preform geometries are then optimized with respect to external cracking in the blank and forming die load. The conventional Taguchi approach is first applied on each criterion separately. Three optimal solutions are generated. It is found that some parameters have conflicting optimal solutions.
The single criterion approach is therefore extended to multiple-criteria approaches by the use of overall evaluation criteria within the Taguchi method. Two methodologies are proposed, namely, the additive utility function method and the TOPSIS decision-making model. It is found that the performances of the two methods are comparable.

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Salazar, Moreno Raquel. "Multiple criteria analysis of economic, environmental and water use problems in an irrigation district of Mexico." Diss., The University of Arizona, 2000. http://hdl.handle.net/10150/284229.

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The Alto Rio Lerma Irrigation District (ARLID), located in the state of Guanajuato in Mexico, is an agricultural area whose sustainability depends partially upon groundwater withdrawal for crop irrigation. Because of high pumping demands and current land-management practices, water levels in the regional groundwater aquifers have declined severely, resulting in aquifer overdraft. The potential adverse consequences of this overdraft cannot be overstated, as the long-term economic viability and environmental integrity of the region is threatened. In order to analyze this economic, environmental, and water use problems in this region, simulation of the agricultural system was performed and associated water use impacts quantified under different management scenarios. Linear programming identified the 12 optimal cropping patterns, and then multi-criteria decision-making methodologies were applied to rank and identify the best cropping pattern (satisficing solution). The GLEAMS model was used to simulate the amounts of water, nitrate, and pesticides in both runoff and percolation for each cropping pattern. In order to quantify the economic and environmental impacts of aquifer overdraft, two attributes were used; pumping costs and an aquifer exploitation coefficient. Three multiple criteria methods: Q-analysis, ELECTRE II, and the Range of Value Method, were evaluated and the latter method was selected to analyze the payoff matrix for the ARLID, where 12 alternatives, each with 13 attributes, were considered. The results show the best alternative for effectively balancing environmental with economic considerations was the farming practice, consisting of land leveling, growing vegetables such as red tomato, and controlled groundwater withdrawals to preserve aquifer sustainability. Low water availability does not necessarily reduce farmer's profits, if new water saving alternatives are applied, combined with more profitable crops. Given that ROV method only considers full compensation between objectives, this research contemplate an extension for the nonlinear case in order to assess the whole range of values of the objective function. The final findings suggest that the best methodology was to apply L1 in the lower levels and then L2 for the highest level in the hierarchy. In this manner, the partial compensation between objectives is considered and also the decrease in the uncertainty of alternatives selection.

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Keeling, Kellie Bliss. "Developing Criteria for Extracting Principal Components and Assessing Multiple Significance Tests in Knowledge Discovery Applications." Thesis, University of North Texas, 1999. https://digital.library.unt.edu/ark:/67531/metadc2231/.

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With advances in computer technology, organizations are able to store large amounts of data in data warehouses. There are two fundamental issues researchers must address: the dimensionality of data and the interpretation of multiple statistical tests. The first issue addressed by this research is the determination of the number of components to retain in principal components analysis. This research establishes regression, asymptotic theory, and neural network approaches for estimating mean and 95th percentile eigenvalues for implementing Horn's parallel analysis procedure for retaining components. Certain methods perform better for specific combinations of sample size and numbers of variables. The adjusted normal order statistic estimator (ANOSE), an asymptotic procedure, performs the best overall. Future research is warranted on combining methods to increase accuracy. The second issue involves interpreting multiple statistical tests. This study uses simulation to show that Parker and Rothenberg's technique using a density function with a mixture of betas to model p-values is viable for p-values from central and non-central t distributions. The simulation study shows that final estimates obtained in the proposed mixture approach reliably estimate the true proportion of the distributions associated with the null and nonnull hypotheses. Modeling the density of p-values allows for better control of the true experimentwise error rate and is used to provide insight into grouping hypothesis tests for clustering purposes. Future research will expand the simulation to include p-values generated from additional distributions. The techniques presented are applied to data from Lake Texoma where the size of the database and the number of hypotheses of interest call for nontraditional data mining techniques. The issue is to determine if information technology can be used to monitor the chlorophyll levels in the lake as chloride is removed upstream. A relationship established between chlorophyll and the energy reflectance, which can be measured by satellites, enables more comprehensive and frequent monitoring. The results have both economic and political ramifications.

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NAIK, AMIT R. "TRADEOFF ANALYSIS FOR HELICAL GEAR REDUCTION UNITS." University of Cincinnati / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1129591522.

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Aggarwal, Ajay K. "On developing an expert system : a knowledge base for GP formulation and analysis /." Diss., This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-07132007-143148/.

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Clayton, John Morris. "Incorporation of environmental, economic and product quality criteria in multiobjective engineering design of Cl₂/ClO₂ softwood kraft pulp bleaching processes." Diss., Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/21481.

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Williams, Jada Bennette. "Strategies for Improved Microgrid System Selection for the Electrification of Rural Areas." University of Dayton / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1437961472.

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PASSOS, ADERSON CAMPOS. "DEFINITION OF A QUALITY INDEX FOR ELECTRIC POWER DISTRIBUTION COMPANIES USING MULTIPLE CRITERIA DECISION SUPPORT AND TIME SERIES ANALYSIS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2010. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=17608@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
O presente trabalho desenvolve um método híbrido com a finalidade de criar um índice de qualidade para distribuidoras de energia elétrica. Esse método é construído através da fusão do Método de Análise Hierárquica (AHP) e Técnicas de Amortecimento Exponencial. Com isso, é possível avaliar uma distribuidora levando em conta múltiplos critérios e seus diversos índices passados.
This work develops a hybrid method in order to create a quality index for electric power distribution companies. This method is built through the merger of the Analytical Hierarchy Process (AHP) and exponential smoothing techniques. Thus, it is possible to evaluate a distribution company taking into account multiple criteria and its several indexes in the past.

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Gildenhuys, Enelge. "Effective selection of countries in sub-Saharan Africa for independent wind power producers using a multiple criteria decision analysis." Master's thesis, University of Cape Town, 2017. http://hdl.handle.net/11427/27467.

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Subjective decision making can lead to results that are difficult to justify in cases where the outcome is unfavourable. This is the case in the wind energy industry where wind independent power producers (IPPs) assess new market entry opportunities. Decision analyses methods can assist decision makers when faced with difficult choices such as which market to enter. Multi Criteria Decision Analyses or MCDA is one of the most preferred of many different decision analyses methods. MCDA ranks a set of criteria in order of importance and then, based on the results, ranks alternatives. There are many MCDA methods available and the most often used include the analytical hierarchy process (AHP), multi-attribute utility theory (MAUT), preference ranking organization method for enrichment evaluation (PROMETHEE), elimination and choice translating reality (ELECTRE) and technique for order preference by similarity to ideal solution (TOPSIS). In this study a combination of MCDA methods are used to rank Sub-Saharan African countries based on preference for new market entry for wind IPPs. Nineteen different criteria were identified through a thorough literature review that were included in the analyses. The nineteen criteria were categorised into economic, technical, political and social criteria. The study was divided into two phases. In the first phase an industry expert survey was concluded and resulting from this survey the AHP was used to rank the criteria in order of importance. In the second phase PROMETHEE was used to rank seven Sub-Saharan African countries from most to least favourable for IPP market entry. The expert survey and AHP showed that political and economic criteria are considerably more important than technical and social criteria. Governments have the ability to change both the economic and political landscape and should do so if they want to attract wind IPPs. On the other hand, technical and social criteria are more difficult for governments to change but these do not have as significant impact on market attractiveness. The PROMETHEE model ranked South Africa as the most favourable market for wind IPPs to enter followed by Ethiopia, Namibia, Kenya, Mozambique, Nigeria and lastly Zambia. The top two countries both have very strong natural wind resources and South Africa is the only country with incentives specifically and exclusively for on grid renewable energy. The least favourable two countries, namely Nigeria and Zambia, have almost no wind resource and a weak economic environment. Future research can use MCDA methods, such as AHP and PROMETHEE, to assist in the evaluation of different market entry opportunities. These methods can also be adapted to investigate opportunities at country level i.e. analyse and compare different states/provinces with each other.

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Peñalvo, López Elisa. "Metodología de Evaluación y Optimización de Sistemas Renovables Híbridos para Electrificación de Zonas Aisladas de la Red." Doctoral thesis, Universitat Politècnica de València, 2017. http://hdl.handle.net/10251/82308.

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The objective of this thesis is the definition and development of a comprehensive methodology of energy planning for areas isolated from the mains, considering not only the energy context of the country and its development towards a sustainable scenario, but also studying the potential of renewable generation in the remote area under study, the ability for demand management and the socio-economic aspects involved in the final decision on what renewable energy solution would be the most appropriate in accordance with the characteristics of the location. The research work is organized into three major phases. The first one defines the algorithm of analysis of the context energy of the country and its evolution towards a future energy scenario based on renewable energies. A second phase which analyzes the best configurations of hybrid renewable systems capable of responding to energy needs in the area, sorting them based on their net present value. And a third one introducing the method of multi-criteria analysis which allows to select, from among all possible configurations identified in the previous stage, the most appropriate to the needs and characteristics of the area to study, taking into account not only economic or technical aspects, but also sociological, political, and environmental criteria. Finally, the developed methodology is applied to a case concrete as example of its potential. An isolated community in the Democratic Republic of the Congo has been selected since 90% of the population living in areas isolated from the mains, and being one of the African countries with the greatest potential for renewable energy generation.
El objetivo de esta tesis es la definición y desarrollo de una metodología integral de planificación energética para zonas aisladas de la red eléctrica que considere no solo el contexto energético del país y su desarrollo hacia un escenario sostenible, sino también el estudio del potencial de generación renovable en la zona remota a estudiar, la capacidad de gestión de la demanda y los aspectos socio-económicos que intervienen en la decisión final sobre qué solución energética renovable sería la más apropiada de acuerdo con las características de la ubicación. El trabajo de investigación se organiza en tres grandes etapas. La primera donde se define el algoritmo de análisis del contexto energético del país y su evolución hacia un escenario energético futuro basado en energías renovables. Una segunda fase donde se analizan las mejores configuraciones de sistemas renovables híbridos capaces de responder a las necesidades energéticas de la zona, clasificándolas en base a su valor neto actual. Y una tercera donde se describe el método de análisis multi-criterio que permite seleccionar, de entre todas las posibles configuraciones identificadas en la etapa anterior, la más adecuada para las necesidades y características de la zona a estudiar, teniendo en cuenta no solo aspectos económicos o técnicos, sino también criterios sociológicos, políticos y medioambientales. Finalmente, se aplica la metodología a un caso concreto en la República Democrática del Congo como ejemplo de su aplicación. Para el análisis del caso de estudio, se ha seleccionado una comunidad aislada en la República Democrática del Congo ya que el 90% de la población vive en zonas aisladas de la red eléctrica, y es uno de los países de África con mayor potencial de generación con energías renovables.
L'objectiu d'aquesta tesi és la definició i desenvolupament d'una metodologia integral de planificació energètica per a zones aïllades de la xarxa elèctrica que considere no solament el context energètic del país i el seu desenvolupament cap a un escenari sostenible, sinó també l'estudi del potencial de generació renovable en la zona remota a estudiar, la capacitat de gestió de la demanda i els aspectes soci-econòmics que intervenen en la decisió final sobre quina solució energètica renovable seria la més apropiada d'acord amb les característiques de la ubicació. El treball de recerca s'organitza en tres grans etapes. La primera on es defineix l'algorisme d'anàlisi del context energètic del país i la seua evolució cap a un escenari energètic futur basat en energies renovables. Una segona fase on s'analitzen les millors configuracions de sistemes renovables híbrids capaços de respondre a les necessitats energètiques de la zona, classificant-les sobre la base del seu valor net actual. I una tercera on es descriu el mètode d'anàlisi multi-criteri que permet seleccionar, d'entre totes les possibles configuracions identificades en l'etapa anterior, la més adequada per a les necessitats i característiques de la zona a estudiar, tenint en compte no sol aspectes econòmics o tècnics, sinó també criteris sociològics, polítics i mediambientals. Finalment, s'aplica la metodologia a un cas concret en la República Democràtica del Congo com a exemple de la seua aplicació. Per a l'anàlisi del cas d'estudi, s'ha seleccionat una comunitat aïllada en la República Democràtica del Congo ja que el 90% de la població viu en zones aïllades de la xarxa elèctrica, i és un dels països d'Àfrica amb major potencial de generació amb energies renovable.
Peñalvo López, E. (2017). Metodología de Evaluación y Optimización de Sistemas Renovables Híbridos para Electrificación de Zonas Aisladas de la Red [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/82308
TESIS

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Bella, Aimee Adjoua. "Conflict analysis under climatic uncertainties: The upper Rio Grande basin." Diss., The University of Arizona, 1996. http://hdl.handle.net/10150/187489.

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Conflict analysis and game theory models are applied to a case study in the upper Rio Grande river basin. The objective is to find which theory best describes past developments in the Rio Grande river basin and the status quo of water use strategies employed by the players (decision makers). By assuming that these past properties will propagate in the future, the preferable change in the equilibrium solution is derived under climate fluctuation, coupled with future population growth scenarios. Past and future Rio Grande resource allocation conflicts are analyzed using (1) multicriterion decision making (MCDM) techniques, such as distance based approach of compromise programming and outranking technique of the ELECTRE family and (2) voting scheme approach of game theory. MCDM and game theory model cases are classified according to the following categories: 1. If decision makers consider each other payoff or if an authority above forces them to consider each other's payoffs, then the conflict analysis problem is a multiactor/ multiobjective problem. 2. If decision makers only care about their own payoff and not what other players payoff are, then the conflict analysis problem is described and solved by game theoretic models. Fifteen decision makers from the Rio Grande water allocation and water management conflict are used as an example to present the different approaches to conflict modeling. From the MCDM techniques used, namely the compromise programming of distance-based approach and the ELECTRE family of outranking relation, the former method stands out as being the most flexible and comprehensive methodology. Though these two methods are conceptually different, for this case study, both methods give approximately the same results. For the game theory analysis, the special voting scheme stands out as being the preferred approach because it better reflects the decision maker's preference and it also is easy to implement and apply. Finally, the climate change scenarios are considered, the 1XCO₂ and the 2XCO₂. Results obtained from these two scenarios indicate the Rio Grande river will face extreme water shortages that will require the development of a different set of water release rules.

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Ruderman, Alex Michael. "A framework for simulation-based multi-attribute optimum design with improved conjoint analysis." Thesis, Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/31811.

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Thesis (M. S.)--Mechanical Engineering, Georgia Institute of Technology, 2010.
Committee Chair: Choi, Seung-Kyum; Committee Member: Allen, Janet K.; Committee Member: Paredis, Chris. Part of the SMARTech Electronic Thesis and Dissertation Collection.

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Subagadis, Yohannes Hagos. "A new integrated modeling approach to support management decisions of water resources systems under multiple uncertainties." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-189212.

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The planning and implementation of effective water resources management strategies need an assessment of multiple (physical, environmental, and socio-economic) issues, and often requires new research in which knowledge of diverse disciplines are combined in a unified methodological and operational framework. Such integrative research to link different knowledge domains faces several practical challenges. The complexities are further compounded by multiple actors frequently with conflicting interests and multiple uncertainties about the consequences of potential management decisions. This thesis aims to overcome some of these challenges, and to demonstrate how new modeling approaches can provide successful integrative water resources research. It focuses on the development of new integrated modeling approaches which allow integration of not only physical processes but also socio-economic and environmental issues and uncertainties inherent in water resources systems. To achieve this goal, two new approaches are developed in this thesis. At first, a Bayesian network (BN)-based decision support tool is developed to conceptualize hydrological and socio-economic interaction for supporting management decisions of coupled groundwater-agricultural systems. The method demonstrates the value of combining different commonly used integrated modeling approaches. Coupled component models are applied to simulate the nonlinearity and feedbacks of strongly interacting groundwater-agricultural hydrosystems. Afterwards, a BN is used to integrate the coupled component model results with empirical knowledge and stakeholder inputs. In the second part of this thesis, a fuzzy-stochastic multiple criteria decision analysis tool is developed to systematically quantify both probabilistic and fuzzy uncertainties associated with complex hydrosystems management. It integrates physical process-based models, fuzzy logic, expert involvement and stochastic simulation within a general framework. Subsequently, the proposed new approaches are applied to a water-scarce coastal arid region water management problem in northern Oman, where saltwater intrusion into a coastal aquifer due to excessive groundwater extraction for irrigated agriculture has affected the aquifer sustainability, endangering associated socio-economic conditions as well as traditional social structures. The results show the effectiveness of the proposed methods. The first method can aid in the impact assessment of alternative management interventions on sustainability of aquifer systems while accounting for economic (agriculture) and societal interests (employment in agricultural sector) in the study area. Results from the second method have provided key decision alternatives which can serve as a platform for negotiation and further exploration. In addition, this approach suits to systematically quantify both probabilistic and fuzzy uncertainties associated with the decision problem. The new approaches can be applied to address the complexities and uncertainties inherent in water resource systems to support management decisions, while serving as a platform for stakeholder participation.

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Lokman, Banu. "Approaches For Multi-objective Combinatorial Optimization Problems." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608443/index.pdf.

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In this thesis, we develop two exact algorithms and a heuristic procedure for Multiobjective Combinatorial Optimization Problems (MOCO). Our exact algorithms guarantee to generate all nondominated solutions of any MOCO problem. We test the performance of the algorithms on randomly generated problems including the Multiobjective Knapsack Problem, Multi-objective Shortest Path Problem and Multi-objective Spanning Tree Problem. Although we showed the algorithms work much better than the previous ones, we also proposed a fast heuristic method to approximate efficient frontier since it will also be applicable for real-sized problems. Our heuristic approach is based on fitting a surface to approximate the efficient frontier. We experiment our heuristic on randomly generated problems to test how well the heuristic procedure approximates the efficient frontier. Our results showed the heuristic method works well.

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Ghaderi, Mohammad. "Preference Disaggregation: Towards an Integrated Framework." Doctoral thesis, Universitat Ramon Llull, 2017. http://hdl.handle.net/10803/404257.

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La desagregació de preferències pretén capturar models de preferències mitjançant la descomposició de la informació obtinguda a partir de preferències indirectes que estan en forma d'eleccions holístiques o judicis. Des d'una perspectiva d'ajuda a la presa de decisions multi criteri, aquesta informació es pren com a punt de partida en un procés d'inferència que condueix a model de preferències basat en punts de vista, generalment conflictius, que conjuntament formen una base per a la decisió. L'estudi de les decisions humanes ha rebut una atenció creixent en els últims anys des de diverses disciplines, que inclouen des de les ciències del comportament (anàlisi de decisions, desagregació de preferències), la intel·ligència artificial (aprenentatge de preferències), fins a l'economia i el màrqueting (teoria de l'elecció). Les tres corrents, encara que originades per diferents filosofies, convergeixen ràpidament cap a una comprensió integral de les preferències, que és l'element bàsic per a les decisions i accions humanes. Aquesta tesi doctoral aprofundeix en aquesta àrea de recerca mitjançant la introducció d'un marc analític integrat que permet capturar les preferències d'una forma complexa a partir de l'observació d'opcions holístiques, decisions i judicis.
La desagregación de preferencias pretende capturar modelos de preferencias mediante la descomposición de la información obtenida con preferencias indirectas que están en forma de elecciones holísticas o juicios. Desde una perspectiva de ayuda a la toma de decisiones multicriterio, dicha información se toma como punto de partida en un proceso de inferencia que conduce a modelo de preferencias basado en puntos de vista, generalmente conflictivos, que conjuntamente forman una base para la decisión. El estudio de las decisiones humanas ha recibido una atención creciente en los últimos años desde varias disciplinas, que incluyen desde las ciencias del comportamiento (análisis de decisiones, desagregación de preferencias), la inteligencia artificial (aprendizaje de preferencias), hasta la economía y el márqueting (teoría de la elección). Las tres corrientes, aunque originadas por diferentes filosofías, convergen rápidamente hacia una comprensión integral de las preferencias, que es el elemento básico para las decisiones y acciones humanas. Esta tesis doctoral profundiza en esta área de investigación mediante la introducción de un marco analítico integrado que permite capturar las preferencias de una forma compleja a partir de la observación de opciones holísticas, decisiones y juicios.
Preference disaggregation aims at capturing preference models by decomposing indirect preference information that are in form of holistic choices or judgments. From a multiple criteria decision aiding perspective, such information is taken as input to an inference procedure that yields to a preference model based on all the, usually conflicting, points of view that together form a basis for the judgments. Studying human judgments and choices has received increasing attention in the last few years from several disciplines, including behavioral science (decision analysis, preference disaggregation), artificial intelligence (preference learning), and economics and marketing (choice modeling). The three streams, although originated from different philosophies, are converging rapidly to a comprehensive understanding of human preferences, that is the main element of decisions and actions. This doctoral dissertation sheds light on this phenomenon by introducing an integrated analytical framework that allows capturing preferences of a complex form by observing holistic choices, decisions, and judgments.

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Sodenkamp, Mariya Verfasser], Leena [Akademischer Betreuer] [Suhl, and Madjid [Akademischer Betreuer] Tavana. "Models, methods and applications of group multiple-criteria decision analysis in complex and uncertain systems / Mariya Sodenkamp. Betreuer: Leena Suhl ; Madjid Tavana." Paderborn : Universitätsbibliothek, 2013. http://d-nb.info/1036892344/34.

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Siebold, Matthias Alexander. "An analysis of the sustainability of the organic dehesa pig farming systems in Andalusia, Spain, using the multiple criteria decision-making paradigm." Thesis, University of Reading, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.515207.

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Schieg, Martin Wolfgang. "Daugiakriterinė statybos projekto valdymo analizė." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2010. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2010~D_20101222_183342-52557.

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Disertacijoje nagrinėjamos statybos projekto valdymas, jame dalyvaujan-čios ir savo tikslus siekiančios įgyvendinti suinteresuotos grupės bei valdymą veikianti išorinė makro- ir mikroaplinka. Norint sukurti ir pasiekti efektyvų statybos projektų valdymą, reikia atlikti kompleksinę jo etapų analizę. Be to, reikia atsižvelgti į projekto, organizacinės ir išorinės aplinkos veiksnių poveikį. Nagrinėjamas statybos projektų valdymo efektyvumo didinimas, panaudojant daugia¬kriterinės analizės sprendimų paramos metodus ir informacines techno-logijas. Darbo tikslas – įvertinti ir pagerinti statybos projektų valdymo efektyvu-mą, naudojant sukurtą Integruoto projektų valdymo modelį. Naudojant šį mo-delį buvo sukurta Daugiakriterinė statybos projektų valdymo sprendimų para-mos sistema, pagrįsta sudėtingų sistemų teorija ir daugiakriterinės analizės bei variantinio projektavimo metodais. Darbą sudaro įvadas, trys skyriai, išvados ir pasiūlymai, literatūros sąrašas. Pirmame skyriuje apžvelgiama esama situacija ir pasiekimai projekto val-dymo srityje, valdymo metodai ir sistemos, vertinimo kriterijai ir valdymo pro-ceso modeliavimo principai. Antrame skyriuje analizuojamos marketingo sistemos, efektyvumo para-metrai ir aprašomas sukurtas Integruoto projektų valdymo modelis. Trečiame skyriuje aprašomi sprendimų paramos sistemos elementai, pla-čiai aprašomi sistemos vertinimo komponentų sukūrimas. Pasiūlytasis metodas iliustruotas aprašant aktualaus praktikoje uždavinio sprendimą... [toliau žr. visą tekstą]
The dissertation investigates management of construction project, that of the participating and pursuing the aims interested parties and that of external macro-micro environment influencing the process. Aiming for efficient design and construction project management an integrated analysis of the process stages is needed. The contribution of project, organizational and external envi-ronment factors should also be taken into account. The investigated problem is assigned to an increasing the efficiency of construction project management via employing the multiple criteria decision support methods and information technologies. The aim of the dissertation is the evaluation and enhancement of the effec-tiveness of construction project management by employing the created Model for Integrated Project Management. This model is used to develop the Con-struction Project Management Multiple Criteria Decision Support System based on the complex systems theory and methods of multiple criteria analysis and multi alternative design. The thesis consists of an introduction, three chapters, conclusions and sug-gestions, and the list of references. The first Chapter introduces the current situation and achievements in con-struction management, approaches and systems in construction, valuation crite-ria and modeling principles of the process. The second Chapter is assigned to analysis of marketing systems, effi-ciency values and the developed model for integrated project management. The third... [to full text]

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Lo, Chih-Chung. "Using effect size in information fusion for identifying object presence and object quality /." free to MU campus, to others for purchase, 1996. http://wwwlib.umi.com/cr/mo/fullcit?p9823330.

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Strand, Joel, and Louise Strandänger. "A case study on how an e-tailer can use a multiple criteria ABC analysis to identify risk in the selection of suppliers." Thesis, Linköpings universitet, Produktionsekonomi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-129523.

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Purpose – The purpose of this master thesis is to explore how an e-tailer selling bulky items can use a multiple criteria ABC analysis to make its purchasing process more effective, while balancing richness and reach, with the performance measurements of profitability, total asset turnover and inventory turnover. The purpose will be accomplished through a single case study on an e-tailer active on the Swedish furniture and home furnishing market. Methodology – This thesis applies a multiple criteria ABC-analysis to a single case study. The approach is semi-deductive as theory is combined with interviews on how to match and adapt theory about inventory control and purchasing with the specific requirements of an e-tailer selling bulky items. Findings – This thesis has resulted in a set of recommendations that aim to make the purchasing process of an e-tailer more effective. That is, capital and inventory space will be better allocated to the e-tailer’s more profitable items. Among other things, this thesis shows how dead articles can be identified and how a purchaser can prioritize more profitable articles over less profitable ones when making procurement decisions. The other recommendations are for the e-tailer to investigate the possibilities of decoupling the supply chain by keeping stock at the suppliers’ premises, to match the supplier reliability with their importance in the supply chain, and lastly to explore possibilities of drop shipment. Further, the main finding is that a comparison between the A-, B-, and C-classes and the reliability of the suppliers, highlights a gap and a possible risk. Put differently, the importance of a specific item for the business should be reflected in the choice of supplier and the multiple criteria ABC analysis is the tool to illustrate the importance. Keywords – E-commerce, E-tailer, richness, reach, transaction cost, ABC analysis, multiple criteria ABC, MCABC, inventory turnover ratio, supplier selection, purchasing Paper type – Masters thesis
Syfte – Syftet med detta examensarbete är att undersöka hur en e-handelsdetaljist som säljer skrymmande artiklar kan använda en flerdimensionell ABC-analys för att göra sin inköpsprocess mer effektiv och balansera richness och reach, med mätetal som lönsamhet, kapitalomsättningshastighet och lageromsättningshastighet. Syftet kommer att uppfyllas genom en fallstudie på en e-handelsdetaljist verksam på den svenska möbel- och heminredningsmarknaden. Metod – Denna fallstudie använder sig av en flerdimensionell ABC-analys. Tillvägagångssättet är semi-deduktivt då intervjuer och teori om hur lagerstyrning och inköp kan matchas och anpassas till ett företags specifika behov. Resultat – Den här uppsatsen har resulterat i en rad åtgärder som syftar till att göra en ehandlares inköpsprocess mer effektiv. På så vis att kapital och lageryta bättre allokeras till ehandlarens lönsamma artiklar. Bland annat visar den här uppsatsen hur döda artiklar kan identifieras och hur inköparen kan prioritera mer lönsamma artiklar över olönsamma vid inköp. De andra åtgärdena handlar om att undersöka möjligheter att frikoppla försörjningskedjan genom att lagra produkter hos leverantören, att matcha leverantörernas pålitlighet och deras betydelse i försörjningskedjan, och slutligen att utforska möjligheter att utöka drop shipment. Det främsta bidraget är att eventuella felprioriteringar och risker blir tydliga genom en jämförelse mellan A-, B- och C-klasserna och leverantörernas pålitlighet. Med andra ord bör den affärsmässiga inverkan som respektive artikel har på e-handlarens resultat avspegla sig i valet av leverantör. En flerdimensionell ABC-analys kan användas för att påvisa respektive artikels affärsmässiga inverkan. Publikationstyp – Examensarbete för utbildning till civilingenjör (masteruppsats).

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Abbas, Mustafa Sulaiman. "Consistency Analysis for Judgment Quantification in Hierarchical Decision Model." PDXScholar, 2016. https://pdxscholar.library.pdx.edu/open_access_etds/2699.

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The objective of this research is to establish consistency thresholds linked to alpha (α) levels for HDM’s (Hierarchical Decision Model) judgment quantification method. Measuring consistency in order to control it is a crucial and inseparable part of any AHP/HDM experiment. The researchers on the subject recommend establishing thresholds that are statistically based on hypothesis testing, and are linked to the number of decision variables and (α) level. Such thresholds provide the means with which to evaluate the soundness and validity of an AHP/HDM decision. The linkage of thresholds to (α) levels allows the decision makers to set an appropriate inconsistency tolerance compatible with the situation at hand. The measurements of judgments are unreliable in the absence of an inconsistency measure that includes acceptable limits. All of this is essential to the credibility of the entire decision making process and hence is extremely useful for practitioners and researchers alike. This research includes distribution fitting for the inconsistencies. It is a valuable and interesting part of the research results and adds usefulness, practicality and insight. The superb fits obtained give confidence that all the statistical inferences based on the fitted distributions accurately reflect the HDM’s inconsistency measure.

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Griendling, Kelly Ann. "Architect: the architecture-based technology evaluation and capability tradeoff method." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42880.

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The use of architectures for the design, development, and documentation of system-of-systems engineering has become a common practice in recent years. At the same time, acquisition guidance has been recently reformed to move from the bottom-up approach of the Requirements Generation System (RGS) to the top-down approach mandated by the Joint Capabilities Integration and Development System (JCIDS), which requires the use of DoDAF to support acquisition. Defense agencies have had difficulty adjusting to these new policies, and are struggling to determine how to meet new acquisition requirements. This research has developed the Architecture-based Technology Evaluation and Capability Tradeoff (ARCHITECT) Methodology to respond to these challenges and address concerns raised about the defense acquisition process. The methodology integrates existing tools and techniques for systems engineering and system of systems engineering with several new modeling and simulation tools and techniques developed as part of this research to fill gaps noted in prior CBAs. Additional criteria for the methodology were developed by leveraging lessons learned from similar fields, including management science and cognitive psychology. A suppression of enemy air defenses (SEAD) mission is used to demonstrate the application of ARCHITECT and to show the plausibility of the approach. Overall, it is shown that the ARCHITECT methodology results in an improvement over current CBAs in the criteria developed here.

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Balčius, Justinas. "Daugiatikslis pastatų projektavimas vertinant gaisro riziką." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2014. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2014~D_20140127_142248-16398.

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Šio baigiamojo magistro darbo tikslas yra patobulinti kiekybinį pastatų gaisrinės saugos ir rizikos vertinimą, įtraukiant gaisrinės saugos (rizikos) rodiklius į daugiatikslės analizės uždavinius. Darbą sudaro dvi pagrindinės dalys. Pirmoje teorinėje darbo dalyje aprašomi kiekybinio gaisro rizikos vertinimo modeliai, gaisro rizikos privalumai ir trūkumai, daugiatikslės analizės modeliai, daugiatikslės analizės uždavinio sprendimas ir sprendimo kriterijai, aptariamas gaisrinės rizikos vertinimo ir daugiatikslės analizės derinimo poreikis. Antroje darbo dalyje yra sprendžiamas daugiatikslio pastato projektavimo uždavinys. Kaip uždavinio objektas pasirenkamas daugiaaukštis administracinis pastatas. Vertinamos trys skirtingos aukštų plano alternatyvos: atviro, koridorinio ir mišraus tipo. Taip pat šiame skyriuje yra apibrėžiami daugiatikslei analizei tinkantys gaisro rizikos rodikliai. Taikant kompiuterinį modeliavimą apskaičiuojami evakuacijos ir nepakeliamų sąlygų laikai, suskaičiuojami ekonominiai rodikliai ir apklausos būdu įvertinamas alternatyvių pastato aukštų patrauklumas. Visi šie rodikliai įtraukiami į daugiatikslės analizės uždavinį ir matematiniu būdu nustatoma geriausia alternatyva. Išsprendus uždavinį pateikiamos išvados ir pasiūlymai. Darbo pabaigoje pateikiamas literatūros šaltinių sąrašas. Darbo apimtis – 58 p. teksto be priedų, 22 iliustr., 11 lent., 52 biografiniai šaltiniai.
The aim of this postgraduate thesis is to improve quantitative building fire safety and risk assessment, including fire safety (risk) indicators in the analysis of multi-criteria tasks. The work consists of two main parts. The first part is theoretical, it describes the quantitative fire risk assessment models, fire risk advantages and disadvantages, multi-criteria analytical models as well as the solution of multi-criteria analysis problem and solution parameters. The assessment of fire risk and the need for conformance of the multi-criteria analysis is also discussed. The second part of the work, focuses on the multi-criteria building design task. A multi-storey office building has been selected as the task object. Three different floor plan types are evaluated: open space, one with the corridor and the mixed type. In addition fire risk indicators suitable for the multi-criteria analysis are defined in this section. Using computer modeling times of evacuation, unbearable conditions and economic indicators are calculated, then the attractiveness of alternative building storey is assessed according to a survey. All these indicators are included in the task of multiple-criteria analysis and the best solution is determined using mathematical method. After solving the task at the end of the paper findings and recommendations are presented followed by references. Thesis consist of: 58 p. text without appendixes,22 pictures, 11 tables, 52 bibliographical entries.

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Belka, Kamila. "Multicriteria analysis and GIS application in the selection of sustainable motorway corridor." Thesis, Linköping University, Department of Computer and Information Science, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-4399.

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Effects of functioning transportation infrastructure are receiving more and more environmental and social concern nowadays. Nevertheless, preliminary corridor plans are usually developed on the basis of technical and economic criteria exclusively. By the time of environmental impact assessment (EIA), which succeeds, relocation is practically impossible and only preventative measures can be applied.

This paper proposes a GIS-based method of delimiting motorway corridor and integrating social, environmental and economic factors into the early stages of planning. Multiple criteria decision making (MCDM) techniques are used to assess all possible alternatives. GIS-held weighted shortest path algorithm enables to locate the corridor. The evaluation criteria are exemplary. They include nature conservation, buildings, forests and agricultural resources, and soils. Resulting evaluation surface is divided into a grid of cells, which are assigned suitability scores derived from all evaluation criteria. Subsequently, a set of adjacent cells connecting two pre-specified points is traced by the least-cost path algorithm. The best alternative has a lowest total value of suitability scores.

As a result, the proposed motorway corridor is routed from origin to destination. It is afterwards compared with an alternative derived by traditional planning procedures. Concluding remarks are that the location criteria need to be adjusted to meet construction

requirements as well as analysis process to be automated. Nevertheless, the geographic information system and the embedded shortest path algorithm proved to be well suited for preliminary corridor location analysis. Future research directions are sketched.

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Brooks, Billy, Matthew McBee, Robert P. Pack, and Arsham Alamian. "The Effects of Rurality on Substance Use Disorder Diagnosis: A Multiple-Groups Latent Class Analysis." Digital Commons @ East Tennessee State University, 2017. https://dc.etsu.edu/etsu-works/1322.

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Background: Rates of accidental overdose mortality from substance use disorder (SUD) have risen dramatically in the United States since 1990. Between 1999 and 2004 alone rates increased 62% nationwide, with rural overdose mortality increasing at a rate 3 times that seen in urban populations. Cultural differences between rural and urban populations (e.g., educational attainment, unemployment rates, social characteristics, etc.) affect the nature of SUD, leading to disparate risk of overdose across these communities. Methods: Multiple-groups latent class analysis with covariates was applied to data from the 2011 and 2012 National Survey on Drug Use and Health (n=12.140) to examine potential differences in latent classifications of SUD between rural and urban adult (aged 18 years and older) populations. Nine drug categories were used to identify latent classes of SUD defined by probability of diagnosis within these categories. Once the class structures were established for rural and urban samples, posterior membership probabilities were entered into a multinomial regression analysis of socio-demographic predictors' association with the likelihood of SUD latent class membership. Results: Latent class structures differed across the sub-groups, with the rural sample fitting a 3-class structure (Bootstrap Likelihood Ratio Test P value=0.03) and the urban fitting a 6-class model (Bootstrap Likelihood Ratio Test P valueThis result supports the hypothesis that different underlying elements exist in the two populations that affect SUD patterns, and thus can inform the development of surveillance instruments, clinical services, and prevention programming tailored to specific communities.

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Mekonnen, Addisu Dereje. "Wind Farm Site Suitability Analysis in Lake Erie Using Web-Based Participatory GIS (PGIS)." Bowling Green State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1392975809.

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Gikys, Mindaugas. "Nekilnojamojo turto internetinė daugiakriterinė sprendimų paramos sistema." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2006. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2005~D_20060221_142253-90319.

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Pastaraisiais metais Lietuvoje nekilnojamojo turto rinka sparčiai auga. Toks spartus šalies nekilnojamojo turto rinkos augimas yra įtakojamas keleto pagrindinių veiksnių: gyventojams atsivėrė plačios skolinimosi galimybės, gerėjanti ekonominė situacija suteikia žmonėms didesnių vilčių ir lūkesčių, pagal apsirūpinimą būstu Lietuva vis dar atsilieka nuo Europos Sąjungos rodiklių beveik dvigubai, paklausai gerokai viršijant pasiūlą atsiveria geros sąlygos statybininkams bei jų produkciją pardavinėjančioms nekilnojamojo turto agentūroms, besiplečianti nekilnojamojo turto rinka traukte traukia investuoti žmones, turinčius laisvų pinigų, auganti infliacija šalyje ir kt. Dėl rinkos plėtros ir išaugusios konkurencijos, informacinių technologijų integracija į nekilnojamojo turto sektorių šiandiena yra reikalinga labiau nei bet kada anksčiau. Informacinių technologijų ir telekomunikacijų panaudojimas nekilnojamojo turto sektoriuje užtikrina spartesnį informacijos apsikeitimą tarp visų suinteresuotų grupių ir leidžia efektyviau reaguoti į rinkos pokyčius. Informacinės technologijos ir telekomunikacijos, kaip priemonė leidžianti pasinaudoti elektroninės terpės privalumais, tapo vienu iš svarbiausių veiksnių nekilnojamojo turto verslui.
In Lithuania, the real estate market has been growing fast in recent years. Such a speedy rise in the country‘s real estate market is being affected by several main factors: residents see the broad lending possibilities; the improving economic situation gives people greater hopes and expectations; the indices of available housing in Lithuania still lag behind the EU almost twice; once the demand well exceeds the supply, good conditions open to the construction companies and real estate agencies to sell their production; the expanding real estate market attracts investments from people who have free money; growing inflation in the country; etc. Due to the market expansion and higher competition, integration of information technologies to the real estate sector is more necessary today than ever before. The application of information technologies and telecommunications in the real estate sector ensures faster exchange of information among all interest groups, and allows more effective responding to market changes. Today we find internet as the field of applying information technologies and telecommunications in the real estate business. With the help of internet in any activity, the possibilities are provided to overcome time and space. By using internet, we can freely get a sufficiently big amount of exhaustive information about real estate. However, today‘s possibilities provided by internet are not limited to this. Frequently, different websites on real estate give us a... [to full text]

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Francis, Karol. "Identifying Opportunities for Community Solar: A Study of Maricopa and Pinal Counties." Thesis, The University of Arizona, 2016. http://hdl.handle.net/10150/618974.

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Photovoltaic (PV) solar electricity generation has the potential to reduce the demand for more traditional fossil and nuclear power generation. Community PV solar installations allow energy users to share the electricity generated by these plants. Optimal siting of community solar installations will allow for maximum electricity generation while avoiding environmental conflicts, as well as, minimizing construction costs. This study identifies opportunities for community solar plants in Maricopa and Pinal Counties, Arizona, of ¼-acre in size. Input parameters fall into economic, physical, and environmental categories. Each of the input parameters were classified from 1 (not suitable) to 9 (highly suitable). Next, the classified rasters in each category were weighed according to importance, and Esri’s Weighted Sum tool was used to generate a combined raster for the category. The three resulting environmental, economic, and physical characteristic rasters were weighed again, and the Weighted Sum tool was used to generate a raster of community solar suitability scores. Next, a mask of locations inappropriate for community-scale solar development was created, including lakes, rivers, streams, and residential rooftops, which are too small to accommodate ¼-acre community solar installations. The masked areas were removed from the suitability raster, and the suitability raster was reclassified using standard deviations to generate a preference map with values ranging from 1 (low preference) to 3 (high preference). The model output reveals 68 percent of the study area is of medium or high preference for community solar installations. Maricopa and Pinal counties provide many opportunities for community solar installations.

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Otarbayeva, Zhamilya. "Plánování dovolené v Evropě s využitím cílového programování." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-194546.

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In this thesis I consider possibility to spend my vacation in one of the three countries: Spain, France, Italy. In each country I chose ten cities, which I would like to visit. I will use Travel Salesman Problem to decide the best route inside each country according to three criteria: Cost, Minutes and Transport. There is also a possibility to choose the type of transport: train or combination of train and airplane. Also I will use Weighted goal programming and Chebyshev goal programming to optimize all criteria simultaneously. In the end I will use multiple -- criteria decision analysis to compare results. According to three methods (ORESTE, ELECTRE III, TOPSIS) I will choose one of the states for my vacation. I will make all calculation in program MPL and in Excel using solver SANNA.

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Shan, Yixing. "Decision making study : methods and applications of evidential reasoning and judgment analysis." Thesis, Loughborough University, 2015. https://dspace.lboro.ac.uk/2134/17330.

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Decision making study has been the multi-disciplinary research involving operations researchers, management scientists, statisticians, mathematical psychologists and economists as well as others. This study aims to investigate the theory and methodology of decision making research and apply them to different contexts in real cases. The study has reviewed the literature of Multiple Criteria Decision Making (MCDM), Evidential Reasoning (ER) approach, Naturalistic Decision Making (NDM) movement, Social Judgment Theory (SJT), and Adaptive Toolbox (AT) program. On the basis of these literatures, two methods, Evidence-based Trade-Off (EBTO) and Judgment Analysis with Heuristic Modelling (JA-HM), have been proposed and developed to accomplish decision making problems under different conditions. In the EBTO method, we propose a novel framework to aid people s decision making under uncertainty and imprecise goal. Under the framework, the imprecise goal is objectively modelled through an analytical structure, and is independent of the task requirement; the task requirement is specified by the trade-off strategy among criteria of the analytical structure through an importance weighting process, and is subject to the requirement change of a particular decision making task; the evidence available, that could contribute to the evaluation of general performance of the decision alternatives, are formulated with belief structures which are capable of capturing various format of uncertainties that arise from the absence of data, incomplete information and subjective judgments. The EBTO method was further applied in a case study of Soldier system decision making. The application has demonstrated that EBTO, as a tool, is able to provide a holistic analysis regarding the requirements of Soldier missions, the physical conditions of Soldiers, and the capability of their equipment and weapon systems, which is critical in domain. By drawing the cross-disciplinary literature from NDM and AT, the JA-HM extended the traditional Judgment Analysis (JA) method, through a number of novel methodological procedures, to account for the unique features of decision making tasks under extreme time pressure and dynamic shifting situations. These novel methodological procedures include, the notion of decision point to deconstruct the dynamic shifting situations in a way that decision problem could be identified and formulated; the classification of routine and non-routine problems, and associated data alignment process to enable meaningful decision data analysis across different decision makers (DMs); the notion of composite cue to account for the DMs iterative process of information perception and comprehension in dynamic task environment; the application of computational models of heuristics to account for the time constraints and process dynamics of DMs decision making process; and the application of cross-validation process to enable the methodological principle of competitive testing of decision models. The JA-HM was further applied in a case study of fire emergency decision making. The application has been the first behavioural test of the validity of the computational models of heuristics, in predicting the DMs decision making during fire emergency response. It has also been the first behavioural test of the validity of the non-compensatory heuristics in predicting the DMs decisions on ranking task. The findings identified extend the literature of AT and NDM, and have implications for the fire emergency decision making.

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Angelis, Aris Nikolaos. "Multiple criteria decision analysis for assessing the value of new medical technologies : researching, developing and applying a new value framework for the purpose of health technology assessment." Thesis, London School of Economics and Political Science (University of London), 2017. http://etheses.lse.ac.uk/3742/.

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Introduction: Current evaluation approaches for new medical technologies are problematic for a plethora of reasons relating to measuring their expected costs and consequences, but also due to hurdles in turning assessed information into coverage decisions. Most adopted methodologies focus on a limited number of value dimensions, despite the fact that the value of new medicines is multi-dimensional in nature. Explicit elicitation of social value tradeoffs is not possible and decision-makers may adopt intuitive or heuristic modes for simplification purposes, based on ad hoc procedures that might lead to arbitrary decisions. Objectives: The objective of the present thesis is to develop and empirically test a methodological framework that can be used to assess the overall value of new medical technologies by explicitly capturing multiple aspects of value while allowing for their tradeoffs, through the incorporation of decision-makers’ preferences in a structured and transparent way. The research hypothesis is that Multiple Criteria Decision Analysis (MCDA) can provide a methodological option for the evaluation of new medicines in the context of Health Technology Assessment (HTA), to support decision-making and contribute to more efficient resource allocation. Methods and Empirical Evidence: The first paper proposes a conceptual methodological process, based on multi-attribute value theory (MAVT) methods comprising five distinct phases, outlining the stages involved in each phase and discusses their relevance in the HTA context. The second paper conducts a systematic literature review and expert consultation in order to investigate the practices, processes and policies of value-assessment for new medicines across eight European countries and identifies the evaluation criteria employed and how these inform coverage recommendations as part of HTA. The third paper develops a MAVT value framework for HTA, incorporating a generic value tree for new medicines composed from different levels of criteria that fall under five value domains (i.e. therapeutic, safety, burden of disease, innovation and socio-economic), together with a selection of scoring, weighting and aggregating techniques. In the fourth and fifth papers, the value framework is tested empirically by conducting two real-world case studies: in the first, the value tree is adapted for the evaluation of second-line biological treatments for metastatic colorectal cancer (mCRC) patients having received prior oxaliplatin-based chemotherapy; in the second, the value tree is conditioned for the evaluation of third-line treatments for metastatic castrate resistant prostate cancer (mCRPC) patients having received prior docetaxel chemotherapy. Both case studies were informed by decision conferences with relevant expert panels. In the mCRC decision conference multiple stakeholders participated reflecting the composition of the English National Institute for Health and Care Excellence (NICE) technology appraisal committees, whereas in the mCRPC decision conference a group of evaluators participated from the Swedish Dental and Pharmaceutical Benefits Agency (TLV), thereby adopting the TLV decision-making perspective. Policy Implications: The value scores produced from the MCDA process reflect a more comprehensive benefit metric that embeds the preferences of stakeholders and decisionsmakers across a number of explicit evaluation criteria. The incorporation of alternative treatments’ purchasing costs can then be used to derive incremental cost value ratios based on which the treatments can be ranked on ‘value-for-money’ grounds, reflecting their incremental cost relative to incremental value. Conclusion: The MCDA value framework developed can aid HTA decision-makers by allowing them to explicitly consider multiple criteria and their relative importance, enabling them to understand and incorporate their own preferences and value trade-offs in a constructed and transparent way. It can be turned into a flexible decision tool for resource allocation purposes in the coverage of new medicines by payers but could also be adapted for other decision-making contexts along their development, regulation and use.

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Tohumcu, Zeynep. "R&amp." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/3/12608397/index.pdf.

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iv In this study, an Analytic Network Process (ANP) and Data Envelopment Analysis (DEA) based approach was developed in order to measure the performance of customer-based Research and Development projects being executed in TÜ
BTAKSAGE, Defense Research and Development Institute, under the Scientific and Technological Research Council of Turkey. In order to evaluate project performance, many criteria, containing various subcriteria were determined. In order to handle the interdependencies among the criteria and the sub-criteria, ANP was used. The ANP model generated in this study is a hybrid model consisting of both a hierarchy and a network. The pairwise comparison matrices that were built up for defining the importance and influences of the criteria/sub-criteria in the ANP model were formed as interval judgments from a group decision making process, based on data obtained from a questionnaire conducted among the experts in the Institute. From the interval pairwise comparison matrices, weight intervals for the sub-criteria were determined and these bounds were used as assurance region constraints in a super-efficiency DEA model, through which the project ranking was obtained. Taking into consideration that there may occur some missing values in some projects for some of the sub-criteria, the superefficiency DEA model was extended to handle missing data. The model was applied to a real case study on performance evaluation of the ongoing customer-based projects in the Institute. For comparison purposes, the case study was also solved by two other approaches.

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Dissertations / Theses on the topic 'Multiple criteria analysis'

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