Relevant bibliographies by topics / Multicriterion Decision Making

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Multicriterion Decision Making'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 February 2022

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Journal articles on the topic "Multicriterion Decision Making"

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Bonner, John, Kenneth J. Arrow, and Herve Raynaud. "Social Choice and Multicriterion Decision-Making." Economic Journal 97, no. 387 (September 1987): 753. http://dx.doi.org/10.2307/2232938.

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Raju, K. S., and D. N. Kumar. "Multicriterion decision making in irrigation planning." Agricultural Systems 62, no. 2 (November 1999): 117–29. http://dx.doi.org/10.1016/s0308-521x(99)00060-8.

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Raju, K. Srinivasa. "MULTICRITERION DECISION MAKING: A BRIEF OVERVIEW." ISH Journal of Hydraulic Engineering 15, sup1 (January 2009): 129–50. http://dx.doi.org/10.1080/09715010.2009.10514972.

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Osyczka, Andrzej. "An interactive multicriterion decision making system." Annual Review in Automatic Programming 12 (January 1985): 208–11. http://dx.doi.org/10.1016/0066-4138(85)90029-1.

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Gaur, Shishir, K. Srinivasa Raju, D. Nagesh Kumar, and Mayank Bajpai. "Multicriterion decision making in groundwater planning." Journal of Hydroinformatics 23, no. 3 (March 4, 2021): 627–38. http://dx.doi.org/10.2166/hydro.2021.122.

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Abstract The groundwater planning problems are often multiobjective. Due to conflicting objectives and non-linearity of the variables involved, several feasible solutions may have to be evolved rather than single optimal solution. In this study, the simulation model built on an Analytic Element Method (AEM) and the optimization model built on a Non-dominated Sorting Genetic Algorithm (NSGA-II) were coupled and applied to study a part of the Dore river catchment, France. The maximization of discharge, the minimization of pumping cost and the minimization of piping cost are the three objectives considered. 2105 non-dominated groundwater planning strategies were generated. K-Means cluster analysis was employed to classify the strategies, and clustering was performed for 3 to 25 clusters. A cluster validation technique, namely Davies–Bouldin (DB) index, was employed to find the optimal number of clusters of groundwater strategies which were found to be 20. Multicriterion Decision-Making (MCDM) techniques, namely VIKOR and TOPSIS, were developed to rank the 20 representative strategies. Both these decision-making techniques preferred representative strategy A5 (piping cost, pumping cost and discharge respectively of 880,000 Euro, 679,000 Euro and 1,263.1 m3/s). The sensitivity analysis of parameter v in VIKOR suggested that there were changes in ranking pattern for various values of v. However, the first position remained unchanged.
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Lansdowne, Zachary F. "Ordinal ranking methods for multicriterion decision making." Naval Research Logistics 43, no. 5 (August 1996): 613–27. http://dx.doi.org/10.1002/(sici)1520-6750(199608)43:5<613::aid-nav2>3.0.co;2-8.

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Raju, K. Srinivasa, and D. Nagesh Kumar. "Fuzzy multicriterion decision making in irrigation planning." Irrigation and Drainage 54, no. 4 (2005): 455–65. http://dx.doi.org/10.1002/ird.197.

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Trosper, Ronald L. "MULTICRITERION DECISION-MAKING IN A TRIBAL CONTEXT." Policy Studies Journal 16, no. 4 (June 1988): 826–42. http://dx.doi.org/10.1111/j.1541-0072.1988.tb00688.x.

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Chan, F. T. S., H. K. Chan, and M. H. Chan. "An integrated fuzzy decision support system for multicriterion decision-making problems." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 217, no. 1 (January 1, 2003): 11–27. http://dx.doi.org/10.1243/095440503762502251.

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In order to compete effectively in today's rapidly changing world economy, decision making should be made fast and accurate, especially when many tangible and intangible factors are considered together. Making decisions to implement advanced manufacturing technologies (AMTs) is a good example. However, not all AMT implementations are successful because most of the conventional investment justification criteria are built on tangible factors, such as cost reduction, only. Intangiabl long-term benefits such as improvement in quality, increase in flexibility, and fast delivery are always disregarded. The objective of this paper is to present an integrated approach, which incorporates different approaches (e.g. strategic, economic and analytic evaluations) for assessing the benefits among several alternative proposals, such as implementing AMT, by a fuzzy multicriterion decision-making method.
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Piegat, Andrzej, and Wojciech Sałabun. "Identification of a Multicriteria Decision-Making Model Using the Characteristic Objects Method." Applied Computational Intelligence and Soft Computing 2014 (2014): 1–14. http://dx.doi.org/10.1155/2014/536492.

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This paper presents a new, nonlinear, multicriteria, decision-making method: the characteristic objects (COMET). This approach, which can be characterized as a fuzzy reference model, determines a measurement standard for decision-making problems. This model is distinguished by a constant set of specially chosen characteristic objects that are independent of the alternatives. After identifying a multicriteria model, this method can be used to compare any number of decisional objects (alternatives) and select the best one. In the COMET, in contrast to other methods, the rank-reversal phenomenon is not observed. Rank-reversal is a paradoxical feature in the decision-making methods, which is caused by determining the absolute evaluations of considered alternatives on the basis of the alternatives themselves. In the Analytic Hierarchy Process (AHP) method and similar methods, when a new alternative is added to the original alternative set, the evaluation base and the resulting evaluations of all objects change. A great advantage of the COMET is its ability to identify not only linear but also nonlinear multicriteria models of decision makers. This identification is based not on a ranking of component criteria of the multicriterion but on a ranking of a larger set of characteristic objects (characteristic alternatives) that are independent of the small set of alternatives analyzed in a given problem. As a result, the COMET is free of the faults of other methods.
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Dissertations / Theses on the topic "Multicriterion Decision Making"

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Tecle, Aregai 1948. "Choice of multicriterion decision making techniques for watershed management." Diss., The University of Arizona, 1988. http://hdl.handle.net/10150/191145.

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The problem of selecting a multicriterion decision making (MCDM) technique for watershed resources management is investigated. Of explicit concern in this research is the matching of a watersned resources management problem with an appropriate MCDM technique. More than seventy techniques are recognized while reviewing the area of MCDM. A new classification scheme is developed to categorize these techniques into four groups on the bases of each algorithm's structural formulation and the possible results obtained by using the algorithm. Other standard classification schemes are also discussed to better understand the differences and similarities among the techniques and thereby demonstrate the importance of matching a particular multicriterion decision problem with an appropriate MCDM technique. The desire for selecting the most appropriate MCDM technique for watershed resources management lead to the development of 49 technique choice criteria and an algorithm for selecting a technique. The algorithm divides the technique choice criteria into four groups: (1) DM/analyst-related criteria, (2) technique-related criteria, (3) problem-related criteria and (4) solution-related criteria. To analyze the applicability of MCDM techniques to a particular problem, the levels of performance of the techniques in solving the problem are, at first, evaluated with respect to the choice criteria in each criterion group resulting in four sets of preference rankings. These four sets are then linearly combined using a set of trade-off parameters to determine the overall preference ranking of the techniques. The MUM technique selection process is itself modeled as a multiobjective problem. In this research, for example, a set of 15 techniques, the author is familiar with, are analyzed for their appropriateness to solve a watershed resources management problem. The performance levels of the 15 MCDM techniques in solving such a problem are evaluated with respect to a selected set of technique choice criteria in each criterion group leading to a set of four evaluation matrices of choice criteria versus alternative techniques. This technique choice problem is then analyzed using a two-stage evaluation procedure known as composite programming. The final product of the process resulted in a preference ranking of the alternative MCDM techniques.
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Poff, Boris, and Aregai Tecle. "An Overview of Multicriterion Decision Making in a Spatio-Temporal Framework." Arizona-Nevada Academy of Science, 2006. http://hdl.handle.net/10150/296660.

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Tecle, Aregai. "The Role of Multicriterion Decision Making in Managing and Resolving Conflicts in Ecosystem Management." Arizona-Nevada Academy of Science, 2003. http://hdl.handle.net/10150/296605.

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Zardari, Noor-ul-Hassan Civil &amp Environmental Engineering Faculty of Engineering UNSW. "An improved multicriterion analysis approach to avoid subjectivity in irrigation water allocation decisions." Publisher:University of New South Wales. Civil & Environmental Engineering, 2008. http://handle.unsw.edu.au/1959.4/41300.

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The performance of the century-old irrigation system of Pakistan (i.e. warabandi) has been evaluated using socio-economic data gathered by the author in multiple farmers?? surveys (n=278) conducted in Indus Basin of Pakistan. In the surveyed regions, the warabandi system was performing poorly. In-built rigidity in water allocations was found as main reason behind its poor performance. The results from the farmers?? surveys also revealed that the objective of increasing irrigation water productivity would never be attained under the warabandi arrangements. Hence, a completely new concept that could replace the warabandi system and improve the productivity of limited irrigation water should be introduced. My aim was to find a better way to allocate the scarce water resource between farmers. In this study, I have introduced a new concept for determining water allocations among the farmers, which is based on a multicriterion decision making (MCDM) approach. The consideration of multiple criteria in irrigation water allocations would improve irrigation water productivity. Upon an extensive survey of well-known MCDM methods, I concluded that all previously existing MCDM methods were using subjective inputs, usually from a single modeller, to establish priorities of alternatives and therefore, a predetermined solution could easily be obtained. I have developed an approach based on conjoint analysis which removes that subjectivity from the chosen MCDM method (i.e. ELECTRE). Interval scales and relative importance criteria weights, two usually subjective inputs in ELECTRE, are objectively estimated from the conjoint analysis study. For that purpose, the author designed a conjoint questionnaire and administered it to 62 farmer respondents in face-to-face interviews. Conjoint analysis, which does not appear to have been previously used in water resources or allocation studies, is a method for creating the interval scales and the relative criteria weights objectively from the respondents?? judgements on the importance of conjoint objects. The objective estimation of these two important factors is a completely new development which can assist in the unbiased determination of the best division or allocation of scarce water resources between farmers. The approach is applied, as a demonstration, to a region with nine distributary watercourses to determine which of the distributaries should have the highest priority for allocation of the regional water.
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Mota, Pedro Jorge Gomes. "Comparative analysis of multicriteria decision making methods." Master's thesis, Faculdade de Ciências e Tecnologia, 2013. http://hdl.handle.net/10362/11263.

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Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores
The main objective of this dissertation is to perform a Comparative Analysis of different Multicriteria Decision Making Methods applied to real-world problems, in order to produce relevant information to enable the incorporation of those methods on computational platforms. The current document presents a simple case study concerning a decision support application targeted for a real problem regarding retrofitting alternatives of a building with energy efficiency impact. The application process was started with the selection of two Multicriteria Decision Making Methods guided by a preexisting framework, and resulted in the choice of AHP and PROMETHEE II methodologies. These two methods were then combined with three different decision maker profiles (Conservative, Moderate and Aggressive) created by means of risk assessment profiling techniques for portfolio allocation. Afterwards, the chosen decision criteria were disposed in a Risk Pyramid according to their inherent level of risk regarding project evaluation. A match was then performed between the decision maker profiles and each criterion, so as to define a proper set of weights for the decision criteria and preference functions, with corresponding preference and indifference thresholds. Finally, three different sets of results (one for each decision maker profile) were produced using appropriate software, and a Sensitivity Analysis was performed over the criteria to understand their influence on the solution. The general conclusion of this Comparative Analysis is that the increase in the preference modelling ability of the methods brings up the least expected alternatives as recommendations for the decision maker. Besides, we have concluded that the decision profiles that allocate bigger weights to the riskiest criteria are the ones that produce the more dispersed set of results within each method application and within each decision maker profile.
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Van, Dyk Theron Van Zyl. "Decision support systems for solving discrete multicriteria decision making problems." Master's thesis, University of Cape Town, 1992. http://hdl.handle.net/11427/14300.

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Includes bibliography.
The aim of this study was the design and implementation of an interactive decision support system, assisting a single decision maker in reaching a satisfactory decision when faced by a multicriteria decision making problem. There are clearly two components involved in designing such a system, namely the concept of decision support systems (DSS) and the area of multicriteria decision making (MCDM). The multicriteria decision making environment as well as the definitions of the multicriteria decision making concepts used, are discussed in chapter 1. Chapter 2 gives a brief historical review on MCDM, highlighting the origins of some of the more well-known methods for solving MCDM problems. A detailed discussion of interactive decision making is also given. Chapter 3 is concerned with the DSS concept, including a historical review thereof, a framework for the design of a DSS, various development approaches as well as the components constituting a decision support system. In chapter 4, the possibility of integrating the two concepts, MCDM and DSS, are discussed. A detailed discussion of various methodologies for solving MCDM problems is given in chapter 5. Specific attention is given to identifying the methodologies to be implemented in the DSS. Chapter 6 can be seen as a theoretical description of the system developed, while Chapter 7 is concerned with the evaluation procedures used for testing the system. A final summary and concluding remarks are given in Chapter 8.
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Chiu, Gerald Wing Cheong. "Multicriteria decision making models for studying construction safety /." access full-text access abstract and table of contents, 2005. http://libweb.cityu.edu.hk/cgi-bin/ezdb/thesis.pl?mphil-bc-b19887498a.pdf.

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Thesis (M.Phil.)--City University of Hong Kong, 2005.
"Submitted to Department of Building and Construction in partial fulfillment of the requirements for the degree of Master of Philosophy" Includes bibliographical references (leaves 239-241)
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Durbach, Ian N. "The treatment of uncertainty in multicriteria decision making." Master's thesis, University of Cape Town, 2003. http://hdl.handle.net/11427/15424.

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Bibliography: leaves 142-149.
The nature of human decision making dictates that a decision must often be considered under conditions of uncertainty. Decisions may be influenced by uncertain future events, doubts regarding the precision of inputs, doubts as to what the decision maker considers important, and many other forms of uncertainty. The multicriteria decision models that are designed to facilitate and aid decision making must therefore consider these uncertainties if they are to be effective. In this thesis, we consider the treatment of uncertainty in multicriteria decision making (MCDM), with a specific view to investigating the types of uncertainty that are most relevant to MCDM, [and] how the uncertainties identified as relevant may be treated by various different MCDM methodologies.
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Valdivia, Salinas Natalia Andrés. "Modelo de priorización de proyectos hidráulicos de riego, a través de técnicas de evaluación multicriterio." Tesis, Universidad de Chile, 2014. http://repositorio.uchile.cl/handle/2250/116057.

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Ingeniera Civil Industrial
El presente estudio tiene por objetivo desarrollar e implementar una metodología de priorización de infraestructura hidráulica de riego, de forma que los proyectos de embalses sean estudiados y evaluados en su contexto. Para la elaboración de la herramienta de priorización, se utilizó el método MCDM, el cual corresponde a un enfoque que permite comparar alternativas en base a múltiples atributos y características. Entre los métodos estudiados, se optó por la metodología AHP para determinar los ponderadores, ya que permite incluir, de forma simultánea, características cuantitativas y cualitativas dentro de un mismo modelo. Se desarrolló un modelo con 5 niveles de criterios y subcriterios. En el primer nivel se especifica el objetivo del estudio. En el segundo nivel jerárquico, se consideran los criterios macro, los cuales corresponden a factores de desarrollo y estratégicos. Los criterios de desarrollo están asociados directamente con las características de los proyectos en sí y los criterios estratégicos corresponden a aspectos políticos y administrativos. En el tercer nivel se identifican los factores económico, social y ambiental. El subcriterio económico busca medir las rentabilidades y riesgos del modelo, el subcriterio social incluye los impactos que este tipo de obras tienen sobre las comunidades y el subcriterio ambiental buscar medir el impacto que tienen los embalses en el territorio donde estos se localizan. Este modelo fue aplicado en cuatro proyectos de embalses, a través del cual se obtuvo un Índice Multi-Criterio (IMC), donde a mayor IMC, mayor prioridad tiene el proyecto. Los resultados obtenidos son: en primer lugar el Embalse A, seguido del Embalse C, luego se encuentra el Embalse B y, en último lugar se encuentra el Embalse D. Los resultados muestran que los métodos multicriterio de priorización permiten incluir características cualitativas y cuantitativas de forma simultánea en un modelo. Sin embargo, es necesario perfeccionar este tipo de metodologías en aspectos tales como la selección de criterios, subcriterios e indicadores, de forma que los proyectos de embalses no sean sub o sobre valorados. Adicional a esto, para la correcta aplicación de la metodología multicriterio, es necesario disponer de información actualizada tanto de los proyectos, como de las comunidades y territorio donde estos se localizan.
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Suhendra. "Integrated improvement of distillation unit using multicriteria decision making analysis." [S.l.] : [s.n.], 2007. http://se6.kobv.de:8000/btu/volltexte/2007/170.

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Books on the topic "Multicriterion Decision Making"

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Hervé, Raynaud, ed. Social choice and multicriterion decision-making. Cambridge, Mass: MIT Press, 1986.

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Pomerol, Jean-Charles. Multicriterion Decision in Management: Principles and Practice. Boston, MA: Springer US, 2000.

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Sergio, Barba-Romero, ed. Multicriterion decision in management: Principles and practice. Boston: Kluwer Academic, 2000.

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Gal, Tomas, Theodor J. Stewart, and Thomas Hanne, eds. Multicriteria Decision Making. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5025-9.

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Pedrycz, Witold, Petr Ekel, and Roberta Parreiras. Fuzzy Multicriteria Decision-Making. Chichester, UK: John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470974032.

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Vincke, Philippe. Multicriteria decision-aid. Chichester [England]: Wiley, 1992.

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Vincke, Philippe. Multicriteria decision-aid. Chichester: Wiley, 1992.

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Stewart, Theodor J., and Robin C. van den Honert, eds. Trends in Multicriteria Decision Making. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-45772-2.

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Roy, Bernard. Multicriteria methodology for decision aiding. Dordrecht: Kluwer Academic Publishers, 1996.

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International Conference on MCDM (11th 1994 Coimbra, Portugal). Multicriteria analysis. New York: Springer-Verlag, 1997.

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Book chapters on the topic "Multicriterion Decision Making"

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Pomerol, Jean-Charles, and Sergio Barba-Romero. "What is Multicriterion Decision Making?" In Multicriterion Decision in Management, 1–16. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4459-3_1.

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Martel, Jean-M., and Danièle Thomassin. "Multicriterion Aid to Make a Schedule of a Surgical Suite." In Multiple Criteria Decision Making, 269–82. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-2918-6_21.

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Dimitrakopoulos, Ioannis, and Kostas Karamanis. "Social Choice and Multicriterion Decision-Making: Decision Modeling Career of Students in Secondary Education Using Multicriteria Analysis." In Economic and Financial Challenges for Eastern Europe, 125–48. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12169-3_9.

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Eiselt, H. A., and C. L. Sandblom. "Multicriteria Decision Making." In Decision Analysis, Location Models, and Scheduling Problems, 23–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24722-7_2.

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Eiselt, H. A., and Carl-Louis Sandblom. "Multicriteria Decision Making." In Springer Texts in Business and Economics, 333–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31054-6_10.

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Gonzales, Christophe, and Patrice Perny. "Multicriteria Decision Making." In A Guided Tour of Artificial Intelligence Research, 519–48. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-06164-7_16.

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Michalewicz, Zbigniew, and David B. Fogel. "Multicriteria Decision-Making." In How to Solve It: Modern Heuristics, 435–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-07807-5_16.

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Chan, Yupo. "Multicriteria Decision Making." In Location Theory and Decision Analysis, 213–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-15663-2_5.

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Carlsson, Christer, and Robert Fuller. "Interdependence In Multiple Criteria Decision Making." In Multicriteria Analysis, 25–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60667-0_4.

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Stewart, Theodor J. "Scenario Analysis and Multicriteria Decision Making." In Multicriteria Analysis, 519–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60667-0_49.

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Conference papers on the topic "Multicriterion Decision Making"

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Stirling, Wynn C., Richard L. Frost, Matthew S. Nokleby, and Yabing Luo. "Multicriterion Decision Making with Depen ent Preferences." In 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making. IEEE, 2007. http://dx.doi.org/10.1109/mcdm.2007.369442.

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Tinguaro Rodriguez, J., Begona Vitoriano, Javier Montero, and Daniel Gomez. "Modelling bipolar multicriteria decision making." In 2009 IEEE Symposium on Computational Intelligence in Milti-Criteria Decision-Making (MCDM). IEEE, 2009. http://dx.doi.org/10.1109/mcdm.2009.4938837.

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Ali, Rekik, Temani Moncef, and Ghedira Khaled. "Fuzzy model for multicriteria decision making." In 2014 Information and Communication Technologies Innovation and Application (ICTIA). IEEE, 2014. http://dx.doi.org/10.1109/ictia.2014.7883753.

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"MULTICRITERIAL DECISION-MAKING IN ROBOT SOCCER STRATEGIES." In 4th International Conference on Informatics in Control, Automation and Robotics. SciTePress - Science and and Technology Publications, 2007. http://dx.doi.org/10.5220/0001619704280431.

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Homenda, Wladyslaw, Agnieszka Jastrzebska, Witold Pedrycz, Fusheng Yu, and Yihan Wang. "Multicriteria Decision Making: Scale, Polarity, Symmetry, Interpretability." In 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2020. http://dx.doi.org/10.1109/fuzz48607.2020.9177705.

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Wang, Chih-Huang, and Shyi-Ming Chen. "A Generalized Model for Multicriteria Decision Making." In 2007 International Conference on Machine Learning and Cybernetics. IEEE, 2007. http://dx.doi.org/10.1109/icmlc.2007.4370442.

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Zhang, Quan, Yucai Wang, and Yuxian Yang. "Fuzzy multiple attribute decision making with eight types of preference information on alternatives." In 2007 First IEEE Symposium on Computational Intelligence in Multicriteria Decision Making. IEEE, 2007. http://dx.doi.org/10.1109/mcdm.2007.369103.

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Nelson, Sigurd A., Matthew B. Parkinson, and Panos Y. Papalambros. "Multicriteria Optimization in Product Platform Design." In ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/dac-8676.

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Abstract A product platform is a set of common components, modules or parts from which a stream of derivative products can be created. Product platform design requires selection of the shared parts and assessment of the potential sacrifices in individual product performance that result from parts sharing. A multicriteria optimization problem can be formulated to study such decisions in a quantitative manner at the product performance level. Studying the Pareto sets that correspond to various derivative products leads to a systematic methodology for design decision making. A brad-nail gun is used to illustrate the concepts presented.
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"Welcome to the First IEEE Symposium of Computational Intelligence in Multicriteria Decision Making (MCDM 2007)." In 2007 First IEEE Symposium on Computational Intelligence in Multicriteria Decision Making. IEEE, 2007. http://dx.doi.org/10.1109/mcdm.2007.369406.

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LLINCA, A. "Aircraft model for multicriterial analysis in decision making." In Guidance, Navigation and Control Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1992. http://dx.doi.org/10.2514/6.1992-4192.

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