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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Bibliographic Details
Main Author:	Rangel Valdes, Nelson
Other Authors:	Florencia, Rogelio, Rivera-Zárate, Gilberto
Format:	Artículo
Language:	en_US
Published:	2018
Subjects:	Multicriteria Decision Aid Multiobjective Optimization Problems Preference Disaggregation Analysis Outranking-based Relational System of Preferences info:eu-repo/classification/cti/1
Online Access:	https://doi.org/10.1155/2018/2157937 https://www.hindawi.com/journals/mpe/2018/2157937/
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Robustness analysis of an outranking model parameters’ elicitation method in the presence of noisy examples

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