 Entropy-optimal weight constraint elicitation with additive multi-attribute utility modelsGert van Valkenhoef and Tommi Tervonen Omega, 2016, vol. 64, issue C, 1-12 Abstract: We consider the elicitation of incomplete preference information for the additive utility model in terms of linear constraints on the weights. Eliciting incomplete preferences using holistic pair-wise judgments is convenient for the decision maker, but selecting the best pair-wise comparison is difficult. We propose a framework for comparing holistic preference elicitation questions based on their expected information gain, and introduce a procedure for approximating the optimal question. We extend the basic approach to generate reference alternatives that differ on only a few attributes, and to determine when further preference information is unlikely to reduce decision uncertainty. We present results from computational experiments that assess the performance of the procedure and assess the impact of limiting the number of attributes on which the reference alternatives differ. The tests show that the proposed method performs well, and when implemented in a decision support system it may substantially improve on-line elicitation using pair-wise comparisons. Keywords: Multicriteria; Decision making/process; Probability; Information theory (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:jomega:v:64:y:2016:i:c:p:1-12 Ordering information: This journal article can be ordered from DOI: 10.1016/j.omega.2015.10.014 Access Statistics for this article Omega is currently edited by B. Lev More articles in Omega from Elsevier |
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