<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Methods based on fuzzy outranking relations constitute one of the main approaches to multiple criteria decision problems. The use of ELECTRE methods require the elicitation of a large number of parameters (weights and different thresholds); but direct eliciting is often a demanding task for the decision-maker (<italic>DM</italic>). For handling intensity-ofpreference effects on concordance levels, a generalized concordance model was proposed by Roy and Slowinski which is more complex than previous outranking models. In this paper, an evolutionary multi-objective-based indirect elicitation of the complete ELECTRE III model-parameter set is proposed. The evolutionary multi-objective inference method is successfully extended to inferring reinforced-preference model parameters. Wide experimental evidence is provided to support the proposal, which performs well even working on small size reference sets.</p></abstract>

Methods based on fuzzy outranking relations constitute one of the main approaches to multiple criteria decision problems. The use of ELECTRE methods require the elicitation of a large number of parameters (weights and different thresholds); but direct eliciting is often a demanding task for the decision-maker (DM). For handling intensity-ofpreference effects on concordance levels, a generalized concordance model was proposed by Roy and Slowinski which is more complex than previous outranking models. In this paper, an evolutionary multi-objective-based indirect elicitation of the complete ELECTRE III model-parameter set is proposed. The evolutionary multi-objective inference method is successfully extended to inferring reinforced-preference model parameters. Wide experimental evidence is provided to support the proposal, which performs well even working on small size reference sets.

Evolutionary multi-objective optimization for inferring outranking model’s parameters under scarce reference information and effects of reinforced preference

Corresponding author, Autonomous University of Sinaloa.

Foundations of Computing and Decision Sciences

Methods based on fuzzy outranking relations constitute one of the main approaches to multiple criteria decision problems. The use of ELECTRE methods require...

Evolutionary multi-objective optimization for inferring outranking model’s parameters under scarce reference information and effects of reinforced preference

Online veröffentlicht: 01. Okt. 2012

Seitenbereich: 163 - 197

DOI: https://doi.org/10.2478/v10209-011-0010-0

Schlüsselwörter
Multiple criteria analysis, Fuzzy outranking relations, Parameter inference, Evolutionary algorithms.

This content is open access.

Evolutionary multi-objective optimization for inferring outranking model’s parameters under scarce reference information and effects of reinforced preference

Online veröffentlicht: 01. Okt. 2012

Seitenbereich: 163 - 197

DOI: https://doi.org/10.2478/v10209-011-0010-0

SchlüsselwörterMultiple criteria analysis, Fuzzy outranking relations, Parameter inference, Evolutionary algorithms.

This content is open access.

Schlüsselwörter
Multiple criteria analysis, Fuzzy outranking relations, Parameter inference, Evolutionary algorithms.