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...

Полное описание

Сохранить в:

Библиографические подробности
Главный автор:	Rangel Valdes, Nelson
Другие авторы:	Florencia, Rogelio, Rivera-Zárate, Gilberto
Формат:	Artículo
Язык:	en_US
Опубликовано:	2018
Предметы:	Multicriteria Decision Aid Multiobjective Optimization Problems Preference Disaggregation Analysis Outranking-based Relational System of Preferences info:eu-repo/classification/cti/1
Online-ссылка:	https://doi.org/10.1155/2018/2157937 https://www.hindawi.com/journals/mpe/2018/2157937/
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!

Ваш комментарий будет первым!

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

Схожие документы