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...
保存先:
第一著者: | Rangel Valdes, Nelson |
---|---|
その他の著者: | Florencia, Rogelio, Rivera-Zárate, Gilberto |
フォーマット: | Artículo |
言語: | en_US |
出版事項: |
2018
|
主題: | |
オンライン・アクセス: | https://doi.org/10.1155/2018/2157937 https://www.hindawi.com/journals/mpe/2018/2157937/ |
タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
類似資料
-
Inferring Parameters of a Relational System of Preferences from Assignment Examples using an Evolutionary Algorithm
著者:: Fernández, Eduardo
出版事項: (2019) -
Online multi-criteria portfolio analysis through compromise programming models built on the underlying principles of fuzzy outranking
著者:: Rivera Zarate, Gilberto
出版事項: (2021) -
Preference Incorporation into Many-Objective Optimization: An Ant Colony Algorithm based on Interval Outranking
著者:: Rivera Zarate, Gilberto
出版事項: (2021) -
Modeling and project portfolio selection problem enriched with dynamic allocation of resources
著者:: Martínez Vega, Daniel
出版事項: (2018) -
Hybridisation of Swarm Intelligence Algorithms with Multi-Criteria Ordinal Classification: A Strategy to Address Many-Objective Optimisation
著者:: Rivera Zarate, Gilberto
出版事項: (2022)