Heuristics for selecting pair-wise elicitation questions in multiple criteria choice problems
Krzysztof Ciomek,
Miłosz Kadziński and
Tommi Tervonen
European Journal of Operational Research, 2017, vol. 262, issue 2, 693-707
Abstract:
We present a set of heuristic approaches for selecting pair-wise elicitation questions in an interactive process for multiple criteria choice problems. Our heuristics aim at minimizing the number of question–answer iterations leading to the univocal recommendation of the Decision Maker’s (DM’s) most preferred alternative. To identify the myopically best question at a given stage of interaction, the proposed approaches ask the DM to compare a pair of alternatives that contributes to the greatest reduction of uncertainty, with respect to the indication of the best alternative by all compatible value functions. This uncertainty is measured either in terms of the number of potentially optimal alternatives, or the entropy of first rank acceptabilities, while assuming different a priori unknown probabilities of the DM’s answers. We discuss results from the extensive experiments on artificially generated and real-world decision problems. Depending on the complexity of the considered problem instances, we either perform a comprehensive analysis of the question–answer interaction trees constructed by the heuristics, or traverse their paths randomly by simulating a numerous set of decision policies. We demonstrate that the greatest benefits from using our questioning procedures can be observed for problems involving numerous alternatives and few criteria, and when the applied piece-wise linear value functions consist of a small number of characteristic points. The study allows us to identify two approaches that perform well in the average or the least advantageous elicitation scenario.
Keywords: Decision analysis; Multiple criteria choice; Additive value function; Pair-wise comparisons; Preference elicitation (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0377221717303545
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:262:y:2017:i:2:p:693-707
DOI: 10.1016/j.ejor.2017.04.021
Access Statistics for this article
European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati
More articles in European Journal of Operational Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().