Journal articles: 'Multicriteria Decision Analysi'

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Witteman, Holly O., Ruth Ndjaboue, Gratianne Vaisson, Selma Chipenda Dansokho, Bob Arnold, John F. P. Bridges, Sandrine Comeau, et al. "Clarifying Values: An Updated and Expanded Systematic Review and Meta-Analysis." Medical Decision Making 41, no. 7 (September 25, 2021): 801–20. http://dx.doi.org/10.1177/0272989x211037946.

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Background Patient decision aids should help people make evidence-informed decisions aligned with their values. There is limited guidance about how to achieve such alignment. Purpose To describe the range of values clarification methods available to patient decision aid developers, synthesize evidence regarding their relative merits, and foster collection of evidence by offering researchers a proposed set of outcomes to report when evaluating the effects of values clarification methods. Data Sources MEDLINE, EMBASE, PubMed, Web of Science, the Cochrane Library, and CINAHL. Study Selection We included articles that described randomized trials of 1 or more explicit values clarification methods. From 30,648 records screened, we identified 33 articles describing trials of 43 values clarification methods. Data Extraction Two independent reviewers extracted details about each values clarification method and its evaluation. Data Synthesis Compared to control conditions or to implicit values clarification methods, explicit values clarification methods decreased the frequency of values-incongruent choices (risk difference, –0.04; 95% confidence interval [CI], –0.06 to –0.02; P < 0.001) and decisional conflict (standardized mean difference, –0.20; 95% CI, –0.29 to –0.11; P < 0.001). Multicriteria decision analysis led to more values-congruent decisions than other values clarification methods (χ2 = 9.25, P = 0.01). There were no differences between different values clarification methods regarding decisional conflict (χ2 = 6.08, P = 0.05). Limitations Some meta-analyses had high heterogeneity. We grouped values clarification methods into broad categories. Conclusions Current evidence suggests patient decision aids should include an explicit values clarification method. Developers may wish to specifically consider multicriteria decision analysis. Future evaluations of values clarification methods should report their effects on decisional conflict, decisions made, values congruence, and decisional regret.

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Schafer, Josephine Gatti, and Caleb T. Gallemore. "Biases in multicriteria decision analysis: The case of environmental planning in Southern Nevada." Environment and Planning C: Government and Policy 34, no. 8 (July 26, 2016): 1652–75. http://dx.doi.org/10.1177/0263774x16629675.

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Multicriteria decision analysis is a decision support aid touted for its ability to help participants overcome bias and make holistic assessments. However, few offer empirical tests of this thesis. This research examines the use of multicriteria decision analysis to implement the Southern Nevada Public Lands Management Act. The Act called upon federal, regional, and local agencies to develop a connected system of parks, trails, and natural areas throughout Nevada. The partners used multicriteria decision analysis to make decisions about which parks, trails, and natural areas projects to fund. We assess the extent of political and cognitive biases among the participants when using the multicriteria decision analysis process. We find no strong evidence of strategic behavior, a finding that highlights many of the celebratory claims made about multicriteria decision analysis. However, we also note a preference for projects adjacent to high-income areas as well as the presence of cognitive biases in the assignment of scores to projects.

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Mitkus, Sigitas, and Eva Trinkūnienė. "ANALYSIS OF CRITERIA SYSTEM MODEL FOR CONSTRUCTION CONTRACT EVALUATION." Technological and Economic Development of Economy 13, no. 3 (September 30, 2007): 244–52. http://dx.doi.org/10.3846/13928619.2007.9637806.

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A number of multicriteria decisions must be made during construction investment processes. A number of support systems for multicriteria tasks of construction investment processes are available. Part of them is reviewed in this article. Effectiveness of the construction investment process is greatly influenced by an appropriate formulation of a construction contract. In order to formulate effective construction contract, multicriteria techniques for evaluation and comparison of the contracts must be created. Beside technical, organisational and economic aspects of construction, legal aspects of a construction contract must be also analysed in order to create such techniques. Therefore legal decision‐making systems are also reviewed in the article. A conclusion can be made from the review that decision‐making systems for construction contracts are not available currently. One of the main tasks in the creation of multicriteria support systems is the formation of a multicriteria indicator system. In this paper the structure of construction contracts are analysed and a hierarchical model of a construction contract is presented. Construction contracts have to be made evaluated and compared to this model. On the basis of this model, significance of indicators should be determined and a multicriteria decision support system should be created in further research stages.

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Durmus, Hasan, and Mehmet Nuri İnel. "Comparing Aras and Copras Methods to Evaluate Firms By Using Fundamental Analysis." International Journal of Social, Political and Economic Research 7, no. 2 (June 2, 2020): 214–30. http://dx.doi.org/10.46291/ijospervol7iss2pp214-230.

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Decision making process is a though process not only for the management decisions but also for daily decisions. Multicriteria decision making methods were developed to make this process easier. There are many multicriteria decision making methods used in many areas at the present. In this study two of these methods were used, namely ARAS (Additive Ratio Assessment) and COPRAS (Complex Proportional Assessment), for fundamental analysis in investment decisions. Aim of this study is to implement and compare methods on fundamental analysis of firms to make an investment decision. In the study financial ratios of 20 firms from 5 different sectors and 4 different countries, sectoral data and country indicators were used. According to these data, ARAS and COPRAS methods were implemented and although exactly same results were not found, approximately similar results were obtained. The best and the worst companies were same for both methods, even though other rankings differed slightly. Also, same sector selected as best for both methods to invest in.

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Williams, Paul, Josephine Mauskopf, Jake Lebiecki, and Anne Kilburg. "Using multicriteria decision analysis during drug development to predict reimbursement decisions." Journal of Market Access & Health Policy 2, no. 1 (January 2014): 25270. http://dx.doi.org/10.3402/jmahp.v2.25270.

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Lootsma, Freerk A. "Multicriteria decision analysis in a decision tree." European Journal of Operational Research 101, no. 3 (September 1997): 442–51. http://dx.doi.org/10.1016/s0377-2217(96)00208-1.

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Simanavičienė, Rūta, and Jovita Cibulskaitė. "Statistical Analysis of the Reliability of a Decision Obtained by the TOPSIS Method." Lietuvos statistikos darbai 54, no. 1 (August 13, 2019): 110–18. http://dx.doi.org/10.15388/ljs.2015.13886.

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The tasks of making the most appropriate decisions taking into account a number of criteria are dealt with in variousfields such as engineering, industry, finance, economics and others. If the aim is to arrange the alternatives in a priority lineaccording to quantitative attributes, then multiattribute decision-making methods are suitable. Analysts using these methods usuallydo not take into account initial data errors – deviations in attribute values, in which case the decision may be unreliable. In thisarticle, several statistical analysis methods are proposed for the multicriteria decision to measure reliability: formulation of statisticalhypotheses and calculation of confidence intervals for parameters. Based on statistical analysis results, conclusions about thereliability of a multicriteria decision obtained using the TOPSIS method are formulated.

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Leake, C., and J. Malczewski. "GIS and Multicriteria Decision Analysis." Journal of the Operational Research Society 51, no. 2 (February 2000): 247. http://dx.doi.org/10.2307/254268.

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Adunlin, Georges, Vakaramoko Diaby, Alberto J. Montero, and Hong Xiao. "Multicriteria decision analysis in oncology." Health Expectations 18, no. 6 (March 17, 2014): 1812–26. http://dx.doi.org/10.1111/hex.12178.

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Coburn, Timothy C. "GIS and Multicriteria Decision Analysis." Computers & Geosciences 26, no. 9-10 (November 2000): 1067–68. http://dx.doi.org/10.1016/s0098-3004(00)00050-9.

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Liang, Liang, Ren Yan Jiang, and Yin Liang. "A Multicriteria Decision Method with Uncertain Information in Financial Credit Loan Decision-Making." Applied Mechanics and Materials 52-54 (March 2011): 1868–72. http://dx.doi.org/10.4028/www.scientific.net/amm.52-54.1868.

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It is difficult to obtain the correct criteria weights with uncertain information in the multicriteria decision-making. Many methods depend on the subjective estimate. Therefore, a method is presented to evaluate the samples ranking only need the importance order of criteria. It evaluates firstly the overall ranking scores of samples based on the graphical classification and multicriteria hierarchical integrated methods. Subsequently, the relation model between the criteria scores and overall ranking scores of samples is built by linear regression. Finally, a fincial credit loan decision-making problem is presented to describe the way of the multicriteria decisiion making process. The analysis to compare with the AHP method illustrates the proposed method is objective and effective.

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Ribes, Juan, and Jacinto González-Pachón. "Risk Attitude in Multicriteria Decision Analysis: A Compromise Approach." International Journal of Environmental Research and Public Health 18, no. 12 (June 17, 2021): 6536. http://dx.doi.org/10.3390/ijerph18126536.

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In fields on which decisions need to be taken including health, as we are seeing nowadays in the COVID-19 crisis, decision-makers face multiple criteria and results with a random component. In stochastic multicriteria decision-making models, the risk attitude of the decision maker is a relevant factor. Traditionally, the shape of a utility function is the only element that represents the decision maker’s risk attitude. The eduction process of multi-attribute utility functions implies some operational drawbacks, and it is not always easy. In this paper, we propose a new element with which the decision maker’s risk attitude can be implemented: the selection of the stochastic efficiency concept to be used during a decision analysis. We suggest representing the risk attitude as a conflict between two poles: risk neutral attitude, associated with best expectations, and risk aversion attitude, associated with a lower uncertainty. The Extended Goal Programming formulation has inspired the parameter that is introduced in a new risk attitude formulation. This parameter reflects the trade-off between the two classical poles with respect to risk attitude. Thus, we have produced a new stochastic efficiency concept that we call Compromise Efficiency.

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Santanna, Annibal Parracho. "Agile Multicriteria Decision Analysis considering Interaction." WSEAS TRANSACTIONS ON COMPUTERS 20 (October 23, 2021): 226–33. http://dx.doi.org/10.37394/23205.2021.20.24.

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An agile system of multiple criteria decision analysis is proposed here. Its main component avoids the collection of field direct information about the importance of the criteria and of the interaction between criteria. This is replaced by a derivation of Choquet capacities to the sets of criteria from the preferences they assign to the alternatives evaluated. This indirect derivation is made possible by a rule to assess importance and interaction based on a principle of preference concentration. The agile applicability of the system is enhanced by the admission of the sampling of initial assessments by pairwise trichotomic comparisons. This possibility reduces the need to precisely measure distances and the care about transitivity. Finally, an ordering of the decision rules based on the facility of explanation of their results provides agility for the final step of the decision. An example of application of the system is given by the study of a case of supplier evaluation.

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Murray, Alan T. "GIS and Multicriteria Decision Analysis (review)." Geographical Analysis 34, no. 1 (2002): 91–92. http://dx.doi.org/10.1353/geo.2002.0003.

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Gurbuz, Feyza. "Strategy development with SWOT analysis on manufacturing companies in rapid growth: A ceramic industry application." New Trends and Issues Proceedings on Humanities and Social Sciences 4, no. 10 (January 12, 2018): 01–12. http://dx.doi.org/10.18844/prosoc.v4i10.3083.

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Decision-making is important for organisations, since the consequences of given decisions are identified among the major risk factors for organisations’ future. This study aims to prove the importance of using combined decision-making methods for a successful decision-making for managers. In a ceramics company, multi-criteria decision-making processes were applied for taking quick action for future strategies. SWOT analysis was used for determining potential strategies. After then, multicriteria decision-making methods were used to determine the importance of each potential strategy. Keywords: Multi-criteria decision-making, SWOT analysis, strategy management.

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Della Spina, Lucia, Raffaele Scrivo, Claudia Ventura, and Angela Viglianisi. "The Culture of Evaluation to Improve the Airport Competitiveness of the Metropolitan City of the Strait: Analysis of Alternative Scenarios of Connection." Advanced Materials Research 1065-1069 (December 2014): 3381–87. http://dx.doi.org/10.4028/www.scientific.net/amr.1065-1069.3381.

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Questo articolo illustra una proposta metodologica e una applicazione combinata di metodo Delphi e un Hierarchy Process nalytic (AHP) . Sono strumenti a supporto delle decisioni - a causa, rispettivamente gli scenari avvicinano e Multicriter ho una decisione Analisi - e hanno lo scopo di affrontare i problemi e processi in cui le scelte hanno una natura complessa e un ambito strategico. Proponiamo un processo di valutazione combinata: Delphi- multicriterio - progettato per superare alcune debolezze degli approcci alla scenari e multi-criteri, mentre il consolidamento e la convalida dall'esperienza empirica e la letteratura. Particolare enfasi è posta sul nodo della partecipazione delle parti interessate nel processo decisionale cruciale, normalmente conferiti momento tecnico e gestito da analista-decisore. Per quanto riguarda l'area di riferimento, per il ragionamento teorico e la sua applicazione ad un caso concreto, ha sarà dato risalto al problema della scelta tra scenari alternativi che collegano il miglioramento dell'aeroporto della Città Metropolitana di (Italia) competitività della Stretto.

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PARK, JOONAM, ANN BOSTROM, BARRY J. GOODNO, and JAMES I. CRAIG. "APPLICATION OF PROBABILISTIC DECISION MODELS FOR SEISMIC REHABILITATION OF STRUCTURES." International Journal of Information Technology & Decision Making 10, no. 02 (March 2011): 309–31. http://dx.doi.org/10.1142/s0219622011004348.

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This paper outlines a decision framework that incorporates state-of-the-art earthquake engineering information and decision maker preferences into multicriteria decision models to support earthquake risk mitigation decisions. Seismic risk analysis of a structure is utilized for probabilistic estimation of the anticipated seismic losses, which in turn is used as inputs to the decision analysis for seismic rehabilitation of the structure. Three decision models are used to provide insight into the value of system interventions to reduce earthquake risks: (1) an equivalent cost model, (2) multi-attribute utility theory, and (3) joint probability decision making. Guidelines for selecting and applying multicriteria decision models for seismic rehabilitation of building structures are derived based on preferences for including risk attitudes and for measuring values. The detailed procedures for the selection and application of the decision models for seismic rehabilitation of building structures are demonstrated through a case study, where a collection of hospitals in a metropolitan area is examined.

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Urrutia del Campo, Nagore, Olatz Grijalba Aseguinolaza, and Rufino Hernandez Minguillón. "Multicriteria Methodology for Open Space Analysis." International Journal of E-Planning Research 10, no. 1 (January 2021): 39–57. http://dx.doi.org/10.4018/ijepr.2021010103.

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This paper describes an urban analysis method for the evaluation of the diversity of open spaces. Diversity is understood as the variety of options that a public space offers to the users, giving them the opportunity to choose the area which best suits their needs, activities, and personal preferences. The method facilitates an environmental quality assessment and comparative evaluation between spaces. Decision support tools based on data analysis are developed to facilitate technical urban design decisions. The methodology is based on a multi-criteria analysis of a public square in Madrid, Spain. Field measurements of climatic data and thermal properties of materials, the activities carried out by people and their location, as well as factors related to urban design are collated in the analysis. Data are complimented with bioclimatic and simulation tools. The analysis identifies differentiated thermal profiles, as well as patterns of use of the space. This enables the identification of specific locations currently favored by citizens and the microclimatic and spatial variety of the square.

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Kiker, Gregory A., Todd S. Bridges, Arun Varghese, Thomas P. Seager, and Igor Linkov. "Application of Multicriteria Decision Analysis in Environmental Decision Making." Integrated Environmental Assessment and Management 1, no. 2 (2005): 95. http://dx.doi.org/10.1897/ieam_2004a-015.1.

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Janušaitis, Rolandas, and Rima Liubinskaitė. "BUILDING FACADE PAINTING COMPLEX PROCESS MULTICRITERIA EVALUATION/FASADŲ DAŽYMO DAUGIAKRITERINIS VERTINIMAS TINKLINIO MODELIO MAZGŲ „IŠPJOVIMO” IR SPRENDIMŲ DAUGIAPAKOPĖS SINTEZĖS METODAIS." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 7, no. 6 (December 31, 2001): 468–73. http://dx.doi.org/10.3846/13921525.2001.10531774.

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Today there are many multicriteria evaluation methods used in building projects. They enable to make component (complex) evaluations of the task. Before a multicriteria evaluation of building facade complex process we develop a technological network model which represents technological systems and work performance variants graphically. We use technological network model junctions “cut” method for finding faster final result, for reducing alternative decisions number and facilitating calculations. This method permits to reject not irrational variants from calculations. Facade painting model consists of the following partial processes: surface preparing, priming, putting and painting. Making multicriteria decisions synthesis all these processes are interpreted as stages. It's necessary to determine the importance of each stage with respect to another stage (stage significance). To find stage significance it's possible to use expert, pair comparison methods, etc. Each stage consists of a certain number of alternatives. For comparison and evaluation of these alternatives, we produce a system of criteria (technical-economical indicators and qualitative characteristics). Using technological network junctions “cut” method, decision multistage synthesis method and carrying out multicriteria evaluation, it is possible to make a more precise alternative decisions analysis, evaluating the stage significance. This is very important for customers, contractors, projectors, etc.

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Jamil, Muhammad, Farkhanda Afzal, Deeba Afzal, Dhana Kumari Thapa, and Ayesha Maqbool. "Multicriteria Decision-Making Methods Using Bipolar Neutrosophic Hamacher Geometric Aggregation Operators." Journal of Function Spaces 2022 (January 27, 2022): 1–13. http://dx.doi.org/10.1155/2022/5052867.

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The study presents a novel conception of aggregation operators (AOs) based on bipolar neutrosophic sets by using Hamacher operations and their application in modeling real-life multicriteria decision-making problems. The neutrosophic set represents incomplete, inconsistent, and indeterminate information effectively. For better understanding in this paper, we have explained all essential definitions and their respective derived neutrosophic sets (NSs) and generalization bipolar neutrosophic sets (BNSs). The primary focus of our work is Hamacher aggregation operators like BN Hamacher weighted geometric (BNHWG), BN Hamacher ordered weighted geometric (BNHOWG), and BN Hamacher hybrid geometric (BNHHG) and their required properties. The proposed scheme provides decision-makers with a comprehensive view of the complexities and vagueness in multicriteria decision-making. As compared to existing methods, these techniques provide comprehensive, increasingly exact, and precise results. Finally, we applied different types of newly introduced AOs and numerical representation on a practical example to demonstrate the effectiveness of the proposed method. Our proposed model and its application have shown improved utility and applicability in the complex decision-making process.

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de Graaf, Gimon, Douwe Postmus, and Erik Buskens. "Using Multicriteria Decision Analysis to Support Research Priority Setting in Biomedical Translational Research Projects." BioMed Research International 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/191809.

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Translational research is conducted to achieve a predefined set of economic or societal goals. As a result, investment decisions on where available resources have the highest potential in achieving these goals have to be made. In this paper, we first describe how multicriteria decision analysis can assist in defining the decision context and in ensuring that all relevant aspects of the decision problem are incorporated in the decision making process. We then present the results of a case study to support priority setting in a translational research consortium aimed at reducing the burden of disease of type 2 diabetes. During problem structuring, we identified four research alternatives (primary, secondary, tertiary microvascular, and tertiary macrovascular prevention) and a set of six decision criteria. Scoring of these alternatives against the criteria was done using a combination of expert judgement and previously published data. Lastly, decision analysis was performed using stochastic multicriteria acceptability analysis, which allows for the combined use of numerical and ordinal data. We found that the development of novel techniques applied in secondary prevention would be a poor investment of research funds. The ranking of the remaining alternatives was however strongly dependent on the decision maker’s preferences for certain criteria.

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Armaghan, Negar, Jérome Costa, Jean Renaud, and Michel Martinez. "INDUSTRIAL KNOWLEDGE MEMORY AND MULTICRITERIA DECISION ANALYSIS." IFAC Proceedings Volumes 39, no. 4 (2006): 425–29. http://dx.doi.org/10.3182/20060522-3-fr-2904.00068.

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Whaiduzzaman, Md, Abdullah Gani, Nor Badrul Anuar, Muhammad Shiraz, Mohammad Nazmul Haque, and Israat Tanzeena Haque. "Cloud Service Selection Using Multicriteria Decision Analysis." Scientific World Journal 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/459375.

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Cloud computing (CC) has recently been receiving tremendous attention from the IT industry and academic researchers. CC leverages its unique services to cloud customers in a pay-as-you-go, anytime, anywhere manner. Cloud services provide dynamically scalable services through the Internet on demand. Therefore, service provisioning plays a key role in CC. The cloud customer must be able to select appropriate services according to his or her needs. Several approaches have been proposed to solve the service selection problem, including multicriteria decision analysis (MCDA). MCDA enables the user to choose from among a number of available choices. In this paper, we analyze the application of MCDA to service selection in CC. We identify and synthesize several MCDA techniques and provide a comprehensive analysis of this technology for general readers. In addition, we present a taxonomy derived from a survey of the current literature. Finally, we highlight several state-of-the-art practical aspects of MCDA implementation in cloud computing service selection. The contributions of this study are four-fold: (a) focusing on the state-of-the-art MCDA techniques, (b) highlighting the comparative analysis and suitability of several MCDA methods, (c) presenting a taxonomy through extensive literature review, and (d) analyzing and summarizing the cloud computing service selections in different scenarios.

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Gales, Catherine Le, and Jean-Paul Moatti. "Searching for Consensus Through Multicriteria Decision Analysis." International Journal of Technology Assessment in Health Care 6, no. 3 (April 1990): 430–49. http://dx.doi.org/10.1017/s0266462300001033.

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AbstractUntil now, no systematic strategy for the prevention of major hemoglobinopathies has been implemented in southeastern France, in spite of frequencies of β-thalassemia trait and HbS trait as high as 2·5–8% in some ethnic populations. The purpose of the study was to help a group of experts, brought together by the Regional Center for Disease Control, to reach a consensus about screening for carriers of heterozygote hemoglobinopathies. A multicriteria decision-analysis model was used to take into account not only the costs and effectiveness of potential screening strategies, but also five other qualitative criteria: technical and practical feasibilities, ethical acceptability, information follow-up in time, and global impact on health education. Conclusions differ significatively from those of a pure costeffectiveness analysis, but a multicriteria approach seems best suited to medical experts' preferences.

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Bystrzanowska, Marta, and Marek Tobiszewski. "How can analysts use multicriteria decision analysis?" TrAC Trends in Analytical Chemistry 105 (August 2018): 98–105. http://dx.doi.org/10.1016/j.trac.2018.05.003.

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Greco, Salvatore, Benedetto Matarazzo, and Roman Slowinski. "Rough sets theory for multicriteria decision analysis." European Journal of Operational Research 129, no. 1 (February 2001): 1–47. http://dx.doi.org/10.1016/s0377-2217(00)00167-3.

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Dolan, JG. "PCV52: WHICH STATIN? A MULTICRITERIA DECISION ANALYSIS." Value in Health 6, no. 3 (May 2003): 326. http://dx.doi.org/10.1016/s1098-3015(10)64166-6.

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Vincke, Philippe. "Analysis of multicriteria decision aid in Europe." European Journal of Operational Research 25, no. 2 (May 1986): 160–68. http://dx.doi.org/10.1016/0377-2217(86)90082-2.

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GRABOŚ, RAFAL. "ANSWER SET PROGRAMMING AND COMBINATORIAL MULTICRITERIA DECISION MAKING." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 14, no. 04 (August 2006): 393–420. http://dx.doi.org/10.1142/s0218488506004096.

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The majority of approaches to multicriteria optimization are based on quantitative representations of preferences of a decision maker, in which numerical procedures of multicriteria analysis are used for aggregation purposes. However, very often qualitative data cannot be known in terms of absolute values so that a qualitative approach is needed. Moreover, the multicriteria methods are directly applicable when alternatives are individuals-then they may be explicitly listed and ordered by an agent. However, sometimes the set of alternatives has combinatorial structure and it must be selected from the set of Cartesian products of value domains of attributes satisfying certain constraints. Then, the space of possible alternatives has a size exponential in the number of variables and ranking all alternatives explicitly is a complex and tedious task. In this paper we propose logic programming with ordered disjunction as a qualitative approach to combinatorial multicriteria decision making, allowing a concise representation of the preference structures, and a human-like form of expressions, being close to natural language, hence providing a good readability and simplicity. A combinatorial multicriteria decision making problem is encoded as a logic program, in which preferences of the decision maker are represented qualitatively. The optimal decision corresponds exactly to the preferred answer set of the program, obtained via the well-known methods of multicriteria analysis.

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Iuga (Butnariu), Anca N., Vasile N. Popa, and Luminița I. Popa. "Comparative Analysis of Automotive Products Regarding the Influence of Eco-Friendly Methods to Emissions’ Reduction." Energies 12, no. 1 (December 20, 2018): 6. http://dx.doi.org/10.3390/en12010006.

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This article utilized a multicriterial quantitative and qualitative analysis of the influence of eco-friendly methods in reducing emissions over the life cycle of automotive products. The new proposed multicriterial method is applicable where preferential criteria are independent of each other, and where uncertainty has not been incorporated into a formal model. The linear model showed how the values of several criteria related to the options could be combined into an overall value. The main objective of this research was to apply a multicriterial methodology to improve the accuracy of existing approaches in identifying the influence of eco-friendly methods to reduce emissions over the product life cycle, and to assist decision makers in the manufacturing process. The research questions were as follows: Which one of two automotive products (“Bus” or “Truck”) has the best environmental performance (EPP)? Which one of two automotive products (“Bus” or “Truck”) has the best overall environmental performance (EPAPL)? This research provided a detailed comparative analysis of a “Crosstown bus” and a “Tractor truck”, both made at the Industrial Park Romania Brasov, Romania, using a multicriterial analysis. This article provided an answer to the first research question, whilst only presenting the results for the second question. The results of the proposed multicriterial method applications provide a decision support base for environmental managerial decisions in the field of automotive production processes.

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Sironen, Susanna, Jyrki Kangas, and Pekka Leskinen. "Restructuring a correlated multilevel decision hierarchy in multicriteria decision analysis." Journal of Multi-Criteria Decision Analysis 27, no. 5-6 (December 25, 2019): 266–85. http://dx.doi.org/10.1002/mcda.1705.

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Moody, Joanna, Timothy Patton Doyle, Scott Middleton, and Joseph Sussman. "The CLIOSjre Process: A Flexible Multicriteria, Multistakeholder Decision Framework for Transportation Planning under Uncertainty." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 44 (June 20, 2018): 82–92. http://dx.doi.org/10.1177/0361198118778930.

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Transportation investments determine the long-term success or failure of a transportation provider. It is therefore vital for decision makers to have an in-depth understanding of the alternatives available before they choose to invest. However, often, the process of evaluating alternatives is lengthy, costly, and contentious, particularly for transportation infrastructure investment decisions that are large, complex, and interconnected with other economic development and sustainability goals. Furthermore, transportation investments involve many decision makers, each with different priorities and expertise. Therefore, there is a need for transparent, accurate, flexible, and practicable decision-making aids that can handle the complex challenges facing the decision-making bodies of transportation providers and planning organizations. This paper introduces a new decision aid—the CLIOSjre Process—that combines insights from multicriteria decision analysis, multistakeholder negotiation theory, and uncertainty analysis. The CLIOSjre Process helps decision makers compare multiple alternatives across multiple objectives and seek an informed collective transportation investment decision. Unlike other multicriteria decision aids, the CLIOSjre Process accounts for differences of opinion among decision makers and is designed to facilitate constructive negotiation among them. Finally, the CLIOSjre Process formally accounts for sources of uncertainty inherent in these decisions. In this way, the CLIOSjre Process provides a unique and flexible framework for investment analysis that can adapt to changes in transportation alternatives, decision-maker priorities, and emerging real-world conditions. The usefulness of this new decision aid is illustrated for the East Japan Railway Company’s consideration of a transportation investment opportunity in high-speed rail development on the Northeast Corridor of the United States.

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Zavadskas, Edmundas Kazimieras, Leonas Ustinovičius, Zenonas Turskis, Gintautas Ambrasas, and Vladislavas Kutut. "ESTIMATION OF EXTERNAL WALLS DECISIONS OF MULTISTOREY RESIDENTIAL BUILDINGS APPLYING METHODS OF MULTICRITERIA ANALYSIS." Technological and Economic Development of Economy 11, no. 1 (March 31, 2005): 59–68. http://dx.doi.org/10.3846/13928619.2005.9637683.

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This paper analyses the most widespread designs of external walls of the multi‐storey residential buildings now in use. Such 49 alternative designs of external walls of multi‐storey residential buildings are analyzed using multicriteria analysis program under uncertainty. Few ways of the decision are applied for the decision of the problem: the method of distance to an ideal point, Baye's rule and Wald's rule. To project and understand effective construction of a building, it is necessary to execute exhaustive analysis of all decisions (planimetric, prolongation of term and quality of buildings operation, improvement of architectural decisions, etc.). The level of a design of external walls efficiency of multi‐storey residential buildings depends on very many factors, including: cost of the construction work, used materials and building mechanisms, aesthetics, properties of service, thermal insulation properties, durability, etc. The offered decision of the choice of the effective decision problem using the system of the criteria having different dimensions takes into account the rational estimation of economic, climatic, social conditions and traditions and also allows better to satisfy architectural, functional, service, comfort and other requirements of the client. It also allows to reduce design, building and operational expenses. The choice of a variant mainly depends on needs and existing financial ability of the customer. The offered system of the effective decision choice using the principles of the multi‐criteria analysis is described in the presented paper. There is an opportunity on the basis of the offered system to compare alternative design decisions of external walls of multi‐storey residential buildings and the choice of the most effective variants.

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Bensalloua, Charef Abdallah, and Djamila Hamdadou. "Spatial OLAP and Multicriteria Integrated Approach for Decision Support System." International Journal of Decision Support System Technology 10, no. 3 (July 2018): 1–26. http://dx.doi.org/10.4018/ijdsst.2018070101.

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This article describes how Spatial On-Line Analytical Processing, such a decisional technology, offers the possibilities of spatial and multidimensional analysis of data stored in multidimensional structure namely spatial data warehouse. However, this technology is limited in the quality aspect of the decision related to the multicriteria consideration. In the current article, the objective is to propose a Spatial Decision Support System namely “Silvicultura” for facilitating decision making in complex situations. This approach is based on integrating multicriteria analysis with SOLAP in order to enrich the spatial and multidimensional analysis with the contribution of MCA tools for mitigating conflict situations. The authors have based their proposal modeling on Unified Modeling language, since it is a well-known standard modeling language and can be easily extended for multidimensional modeling. Finally, in order to validate their proposal, the authors present a case study to show how to use it in the agroforestry management.

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Hollands, Fiona, Yilin Pan, and Maya Escueta. "What Is the Potential for Applying Cost-Utility Analysis to Facilitate Evidence-Based Decision Making in Schools?" Educational Researcher 48, no. 5 (May 22, 2019): 287–95. http://dx.doi.org/10.3102/0013189x19852101.

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Education decision makers routinely make choices among programs and strategies to implement. Policy demands increasingly require that such decisions are based on evidence regarding program effectiveness at improving student outcomes. However, research evidence is but one of the considerations that practitioners must juggle, along with local conditions, capacity, resource availability, and stakeholder values. We investigated the feasibility of applying a multicriteria decision-making framework based on cost-utility analysis to facilitate evidence-based decisions by educators. Working with a total of 183 aspiring school leaders in class settings, we determined to what extent they could implement the initial steps of the framework. We subsequently invited three educators to apply the full framework to substantive decisions in their schools and report the results.

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Dehouche, Nassim. "Accounting for asymmetry between strengths, weaknesses, opportunities and threats in outranking methods." Journal of Modelling in Management 12, no. 2 (May 8, 2017): 265–90. http://dx.doi.org/10.1108/jm2-09-2015-0063.

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Purpose The purpose of this paper consists in discussing and modeling the asymmetrical nature of evaluation criteria that are notably relevant in strategic planning, project portfolio management and complex systems management. Design/methodology/approach The author guarantees the theoretic validity of the proposed approach, by showing that it possesses desirable properties such as monotonicity. This allows for a reduced implementation time and thus a real-time use of the model. Findings The author conducts a comparative study with two other multicriteria decision aid models on a set of real data regarding a power plant sitting problem and highlights some of the limitations of previous models compared to the proposed approach. Originality/value This paper describes a novel multicriteria decision aid model, entitled SPADE (which is an acronym for Structuring Preferences to Aid DEcisions). It aims at consolidating SWOT analysis with sound decision-theoretic techniques, and making use of its results to support decision-making.

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Stewart, Theodor J. "Relationships between Data Envelopment Analysis and Multicriteria Decision Analysis." Journal of the Operational Research Society 47, no. 5 (May 1996): 654. http://dx.doi.org/10.2307/3010016.

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Stewart, Theodor J. "Relationships between Data Envelopment Analysis and Multicriteria Decision Analysis." Journal of the Operational Research Society 47, no. 5 (May 1996): 654–65. http://dx.doi.org/10.1057/jors.1996.77.

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Dimitrakopoulos, Ioannis, and Kostas Karamanis. "Decision Making Using Multicriteria Analysis: A Case Study of Decision Modeling Career in Education." Case Studies in Business and Management 4, no. 2 (July 17, 2017): 24. http://dx.doi.org/10.5296/csbm.v4i2.11355.

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The aim of this paper is to offer an applicable evaluation framework relating to the right choice of one’s profession via his/her studies. The first part of the paper consists of the basic principles of Multicriteria Decision Making. To begin with, the paper initially focuses on the Macbeth Method. This helps to provide a perspective for procedural types of decisions in which various qualitative and quantitative aspects are incorporated. In the second part of the paper, the above-mentioned multicriteria method is applied to a “real-world” case concerning a specific case of a student, Eva. For this specific study, it is concluded that the factors of greatest importance that lead to choosing the University Eva finally chose, were four: the cost of undergraduate studies, the reputation-status of the University, its logistics and infrastructure and its interconnections with other Universities and other Academic Institutions.

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Sodenkamp, Mariya A., and Leena Suhl. "A Multicriteria Multilevel Group Decision Method for Supplier Selection and Order Allocation." International Journal of Strategic Decision Sciences 3, no. 1 (January 2012): 81–105. http://dx.doi.org/10.4018/ijsds.2012010103.

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Supplier selection is an integral part of supply chain management (SCM). It plays a prominent role in the purchasing activity of manufacturing and trading companies. Evaluation of vendors and procurement planning requires simultaneous consideration of tangible and intangible decision factors, some of which may conflict. A large body of analytical and intuitive methods has been proposed to trade off conflicting aspects of realism and optimize the selection process. In the large companies the fields of decision makers’ (DMs) expertise are highly distributed and DMs’ authorities are unequal. On the other hand, the decision components and their interactions are very complex. These facts restrict the effectiveness of using the existing methods in practice. The authors present a multicriteria decision analysis (MCDA) method which facilitates making supplier selection decisions by the distributed groups of experts and improves quality of the order allocation decisions. A numerical example is presented and applicability of the proposed algorithm is demonstrated in the Raiffeisen Westfalen Mitte, eG in Germany.

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Vieira Junior, Hélcio. "Multicriteria approach to data envelopment analysis." Pesquisa Operacional 28, no. 2 (August 2008): 231–42. http://dx.doi.org/10.1590/s0101-74382008000200004.

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With the aim of making Data Envelopment Analysis (DEA) more acceptable to the managers' community, the Weights Restrictions approaches were born. They allow DEA to not dispose of any data and permit the Decision Maker (DM) to have some management over the method. The purpose of this paper is to suggest a Weights Restrictions DEA model that incorporates the DM preference. In order to perform that, we employed the MACBETH methodology as a tool to find out the bounds of the weights to be used in a Weights Restrictions approach named Virtual Weights Restrictions. Our proposal achieved an outcome that has an expressive correlation with three widely used decision-aids methodologies: the ELECTRE III, the SMART and the PROMETHEE I and II. In addition, our approach was able to join the most significant outcomes of all the above three Multicriteria decision-aids methodologies in one unique outcome.

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Onajite, Onoyeyan, and Sunday Ayoola Oke. "Multicriteria Selection of Friction Stir Welded Al-Tib2 Metal Matrix Composites using WASPAS to Improve Composite Development and Design." IJIEM - Indonesian Journal of Industrial Engineering and Management 1, no. 3 (December 19, 2020): 127. http://dx.doi.org/10.22441/ijiem.v1i3.9943.

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The unique area of friction stir welding that involves Al-TiB2 composite development stirs controversy and fails to offer a clear understanding of how to choose the best composite among alternatives without subjectivity. At present, the experienced fabricator uses intuition in judgement, leading to wrong or inconsistent decisions. In this paper, the WASPAS multicriteria model is deployed to choose the best Al-TiB2 composite among options using tensile strength, ductility and microhardness as attributes. The procedure generally entails normalization, preference score and ranking determination and literature data was used. The emerging conclusion from this study is that irrespective of the weight determination method and the multicriteria model adopted to evaluate the alternative fabricated Al-TiB2 composites, the Al-10%TiB2 and Al6065 based alloy always reveal as the best and worst composites, respectively, even under varied normalisation methods. The research confirmed that multicriteria analysis is a potential objective method to choose among fabricated alternatives. The work showed that there is scope to evade the consequences of subjectivity in composite decision making by attaching adequate weights to the deciding factors thereby avoiding misguidance and incorrect decision making. Furthermore, multicriteria models offer novel approaches to understand the relative preference of fabricating composites to one another in the metal matrix composite development area.

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Bates, Matthew E., Sabrina Larkin, Jeffrey M. Keisler, and Igor Linkov. "How decision analysis can further nanoinformatics." Beilstein Journal of Nanotechnology 6 (July 22, 2015): 1594–600. http://dx.doi.org/10.3762/bjnano.6.162.

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The increase in nanomaterial research has resulted in increased nanomaterial data. The next challenge is to meaningfully integrate and interpret these data for better and more efficient decisions. Due to the complex nature of nanomaterials, rapid changes in technology, and disunified testing and data publishing strategies, information regarding material properties is often illusive, uncertain, and/or of varying quality, which limits the ability of researchers and regulatory agencies to process and use the data. The vision of nanoinformatics is to address this problem by identifying the information necessary to support specific decisions (a top-down approach) and collecting and visualizing these relevant data (a bottom-up approach). Current nanoinformatics efforts, however, have yet to efficiently focus data acquisition efforts on the research most relevant for bridging specific nanomaterial data gaps. Collecting unnecessary data and visualizing irrelevant information are expensive activities that overwhelm decision makers. We propose that the decision analytic techniques of multicriteria decision analysis (MCDA), value of information (VOI), weight of evidence (WOE), and portfolio decision analysis (PDA) can bridge the gap from current data collection and visualization efforts to present information relevant to specific decision needs. Decision analytic and Bayesian models could be a natural extension of mechanistic and statistical models for nanoinformatics practitioners to master in solving complex nanotechnology challenges.

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Gomes, Luiz Flávio Autran Monteiro, Luís Alberto Duncan Rangel, and Priscila Pereira Fernandes. "Decision aiding in plastic surgery: a multicriteria analysis." Pesquisa Operacional 32, no. 2 (June 21, 2012): 371–87. http://dx.doi.org/10.1590/s0101-74382012005000011.

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Anand, Prakhar. "Analyzing Consensus via Making Multicriteria Decision Analysis Methodology." International Journal for Research in Applied Science and Engineering Technology 10, no. 7 (July 31, 2022): 3295–304. http://dx.doi.org/10.22214/ijraset.2022.45501.

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Abstract: Purpose – This paper takes a cautionary stance to the impact of marketing mix on customer satisfaction, via a case study deriving consensus rankings for benchmarking on selected retail stores in Malaysia. Design/methodology/approach – ELECTRE I model is used in deriving consensus rankings via multicriteria decision making method for benchmarking base on the marketing mix model 4Ps. Descriptive analysis is used to analyze the best practice among the four marketing tactics. Findings – Outranking methods in consequence constitute a strong base on which to found the entire structure of the behavioral theory of benchmarking applied to development of marketing strategy. Research limitations/implications – This study has looked only at a limited part of the puzzle of how consumer satisfaction translates into behavioral outcomes. Practical implications – The study provides managers with guidance on how to generate rough outline of potential marketing activities that can be used to take advantage of capabilities and convert weaknesses and threats. Originality/value – This paper interestingly portrays the effective usage of multicriteria decision making and ranking method to help marketing manager predict their marketing trend

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Tobiszewski, Marek, Witold Przychodzeń, Marta Bystrzanowska, and Maria J. Milewska. "Organic syntheses greenness assessment with multicriteria decision analysis." Green Chemistry 23, no. 23 (2021): 9583–88. http://dx.doi.org/10.1039/d1gc03108b.

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Wenstöp, Fred E., and Arne J. Carlsen. "Ranking Hydroelectric Power Projects with Multicriteria Decision Analysis." Interfaces 18, no. 4 (August 1988): 36–48. http://dx.doi.org/10.1287/inte.18.4.36.

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Xi, Rui-Jie, Jian-Zhang Wu, and Gleb Beliakov. "Matrix Representation of Capacity-Based Multicriteria Decision Analysis." IEEE Access 7 (2019): 185543–53. http://dx.doi.org/10.1109/access.2019.2960539.

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Dionne, François, and Craig Mitton. "Is Multicriteria Decision Analysis a Resource Allocation Framework?" Value in Health 23, no. 10 (October 2020): 1400–1401. http://dx.doi.org/10.1016/j.jval.2020.02.016.

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Journal articles on the topic 'Multicriteria Decision Analysi'

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