Journal
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
Volume 202, Issue 3, Pages 841-852Publisher
ELSEVIER
DOI: 10.1016/j.ejor.2009.06.026
Keywords
Multiple criteria decision analysis; Multiple criteria sorting; Case-based preference elicitation; Robust analysis; Experimental test
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Case-based preference elicitation methods for multiple criteria sorting problems have the advantage of posing rather small cognitive demands on a decision maker, but they may lead to ambiguous results when preference parameters are not uniquely determined. We use a simulation approach to determine the extent of this problem and to study the impact of additional case information on the quality of results. Our experiments compare two decision analysis tools, case-based distance sorting and the simple additive weighting method, in terms of the effects of additional case information on sorting performance, depending on problem dimension - number of groups, number of criteria, etc. Our results confirm the expected benefit of additional case information on the precision of estimates of the decision maker's preferences. Problem dimension, however, has some unexpected effects. (C) 2009 Elsevier B.V. All rights reserved.
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