Title: Inferring an ELECTRE I model from binary outranking relations

Authors: Hela Moalla Frikha; Sawsan Charfi

Addresses: LOGIQ Research Unit, Higher Institute of Industrial Management of Sfax, Road of Tunis km 10.5, Technopole of Sfax, BP 1164, Sfax 3021, Tunisia ' LOGIQ Research Unit, Higher Institute of Industrial Management of Sfax, Road of Tunis km 10.5, Technopole of Sfax, BP 1164, Sfax 3021, Tunisia

Abstract: Multi-criteria decision making (MCDM) consists in choosing, ranking or sorting alternatives belonging to a finite set and evaluated according to several and usually conflicting criteria. Criteria weights play a crucial role in the decision process since they express the importance of the considered criteria as seen by the decision maker (DM). However, these weight values assigned directly by the DM are subjective and little reliable as they are based only on his experience, his intuition and his psychological state. To overcome the subjectivity problem, several methods are developed to infer criteria weights from DM judgments. The aim of this paper is to develop an approach eliciting ELECTRE I criteria weights using binary outranking relations furnished by the decision-maker and taking support on mathematical programming.

Keywords: multi-criteria decision aid; criteria weights; subjectivity; preference disaggregation; ELECTRE I method; binary outranking relations.

DOI: 10.1504/IJMCDM.2018.094387

International Journal of Multicriteria Decision Making, 2018 Vol.7 No.3/4, pp.263 - 275

Received: 02 Oct 2016
Accepted: 05 Oct 2017
Published online: 31 Aug 2018 *

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