Journal
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
Volume 175, Issue 1, Pages 111-120Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.ejor.2005.05.002
Keywords
multiple attribute decision making (MADM); fuzzy sets; Monte Carlo simulation; grey analysis
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Multiattribute decision making involves tradeoffs among alternative performances over multiple attributes. The accuracy of performance measures are usually assumed to be accurate. Most multiattribute models also assume given values for the relative importance of weights for attributes. However, there is usually some uncertainty involved in both of these model inputs. Outranking multiattribute methods have always provided fuzzy input for performance scores. Many analysts have also recognized that weight estimates also involve some imprecision, either through individual decision maker uncertainty, or through aggregation of diverging group member preferences. Many fuzzy multiattribute models have been proposed, but they have focused on identifying the expected value solution (or extreme solutions). This paper demonstrates how simulation can be used to reflect fuzzy inputs, which allows more complete probabilistic interpretation of model results. (c) 2005 Elsevier B.V. All rights reserved.
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