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Incremental elicitation of the criteria weights of SRMP using a regret-based query selection strategy

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Abstract

The Simple Ranking Method using Reference Profiles (or SRMP) is a Multi-Criteria Decision Aiding (MCDA) technique based on the outranking paradigm, which allows to rank decision alternatives according to the preferences of a decision maker (DM). Inferring the preference parameters of such a model can lead to a cognitive fatigue of the DM, who is often asked to express several preferential statements about pairs of alternatives during the elicitation process. To limit the DM's effort, an incremental elicitation process can be used to select informative pairs of alternatives to be presented to the DM sequentially with the aim of refining the SRMP model until a robust recommendation can be made. In this paper, we propose a heuristic for selecting the pairs of alternatives submitted sequentially to the DM for evaluation, using a regret-based elicitation approach. We restrict our proposal to the elicitation of a subset of parameters of the SRMP model, namely the criteria weights, and show that in this context, the proposed heuristic outperforms previously studied query selection criteria.
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Dates and versions

hal-03379803 , version 1 (15-10-2021)

Identifiers

  • HAL Id : hal-03379803 , version 1

Cite

Arwa Khannoussi, Nawal Benabbou, Alexandru-Liviu Olteanu, Patrick Meyer. Incremental elicitation of the criteria weights of SRMP using a regret-based query selection strategy. DA2PL 2020: From Multiple Criteria Decision Aid to Preference Learning, Nov 2020, Trento (virtual), Italy. ⟨hal-03379803⟩
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