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Potential Nondominance in Multi-Criteria Decision Analysis
International Journal of Information Technology & Decision Making, 2022In this paper, we consider multi-criteria decision-making problems of selecting the best decision alternative in which the preferences of the decision maker are given in the form of quasi-orders. If the decision maker’s preferences are modeled by a family of complete quasi-orders (in particular, by a parametric family of additive value functions) then
Vladislav V. Podinovski +1 more
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Biases and Debiasing in Multi-criteria Decision Analysis
2015 48th Hawaii International Conference on System Sciences, 2015Developing models and estimating parameters for multi-criteria decision analysis requires judgments by experts and decision makers. These judgments are subject to biases, which can reduce the quality of the analysis. Some of these biases are due to faulty cognitive processes, some are due to motivations for preferred analysis outcomes.
Montibeller, Gilberto +1 more
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Modeling uncertainty in multi-criteria decision analysis
European Journal of Operational Research, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ian N. Durbach, Theodor J. Stewart
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Multi-criteria Decision Analysis
2017Multiple criteria decision analysis is devoted to the development of decision support tools to address complex decisions, especially where other methods fail to consider more than one outcome of interest. The approach is very flexible as outcomes can be quantifiable in non-monetary terms and be expressed in ordinal or numerical terms (Sect.
Jean-Michel Josselin, Benoît Le Maux
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Behavioural decision theory for multi-criteria decision analysis: a guided tour
Journal of the Operational Research Society, 2009Multi-criteria decision analysis (MCDA) involves asking decision makers difficult questions, and can leave them thinking that their judgements are not as coherent as they might have thought. This experience can be distressing and may even lead to rejection of the analysis.
Alec Morton, Barbara Fasolo
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Multi criteria decision analysis for decision support applications
2023Submission note: A thesis submitted in total fulfilment of the requirements for the degree of Doctor of Philosophy to the Department of Computer Science and Information Technology, School of Engineering and Mathematical Sciences, La Trobe University, Bundoora.
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On the Similarities of Some Multi‐Criteria Decision Analysis Methods
Journal of Multi-Criteria Decision Analysis, 2011ABSTRACTSince multiple criteria characterise many practical decision problems, the research field of multicriteria decision analysis (MCDA) is flourishing. This paper compares the multi‐attribute decision making (MADM) methods, simple additive rating (SAR), simple additive weighting (SAW) as well as the outranking approach PROMETHEE and explains their ...
Geldermann, Jutta, Schöbel, Anita
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Raising the bar: strategic multi-criteria decision analysis
Journal of the Operational Research Society, 2011This paper discusses the use of multi-criteria decision analysis for supporting strategic decision making in organisations. It begins by exploring the notions of strategic decisions and the strategic decision-making process. We suggest that structuring strategic objectives, dealing with high levels of uncertainty about the future, as well as ...
Gilberto Montibeller, L. Alberto Franco
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Multi-Criteria Decision Analysis for Strategic Decision Making
2010In this chapter we discuss the use of MCDA for supporting strategic deci- sion making, particularly within strategy workshops. The chapter begins by explor- ing the nature of strategic decisions and the characteristics of the strategic decision making process.
Montibeller, Gilberto, Franco, Alberto
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A comparative analysis of multi-criteria decision-making methods
Progress in Artificial Intelligence, 2016In this work, we empirically compare the rankings produced by several multi-criteria decision-making methods. We analyzed multi-MOORA, TOPSIS and three different settings for VIKOR. Using decision matrices with different number of alternatives and criteria, we compared the rankings produced using the Spearman’s correlation coefficient index.
Blanca Ceballos +2 more
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