Multiple Criteria Hierarchy Process with ELECTRE and PROMETHEE

Salvatore Corrente, Salvatore Greco () and Roman Słowiński

Omega, 2013, vol. 41, issue 5, 820-846

Abstract: Robust Ordinal Regression (ROR) supports Multiple Criteria Decision Process by considering all sets of parameters of an assumed preference model, that are compatible with preference information elicited by a Decision Maker (DM). As a result of ROR, one gets necessary and possible preference relations in the set of alternatives, which hold for all compatible sets of parameters, or for at least one compatible set of parameters, respectively. In this paper, we propose an extension of ELECTRE and PROMETHEE methods to the case of the hierarchy of criteria, which was never considered before. Then, we adapt ROR to the hierarchical versions of ELECTRE and PROMETHEE methods.

Keywords: Hierarchy of criteria; ELECTRE methods; PROMETHEE methods; Robust Ordinal Regression (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (55)

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DOI: 10.1016/j.omega.2012.10.009

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