Robustness analysis of an outranking model parameters’ elicitation method in the presence of noisy examples

Robustness analysis of an outranking model parameters’ elicitation method in the presence of noisy examples

One of the main concerns in Multicriteria Decision Aid (MCDA) is robustness analysis. Some of the most important approaches to model decision maker preferences are based on fuzzy outranking models whose parameters (e.g., weights and veto thresholds) must be elicited. The so-called preference-disaggr...

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Bibliografiske detaljer
Hovedforfatter:	Rangel Valdes, Nelson
Andre forfattere:	Florencia, Rogelio, Rivera-Zárate, Gilberto
Format:	Artículo
Sprog:	en_US
Udgivet:	2018
Fag:	Multicriteria Decision Aid Multiobjective Optimization Problems Preference Disaggregation Analysis Outranking-based Relational System of Preferences info:eu-repo/classification/cti/1
Online adgang:	https://doi.org/10.1155/2018/2157937 https://www.hindawi.com/journals/mpe/2018/2157937/
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