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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| Natura: | Artículo |
| Lingua: | en_US |
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2018
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| Accesso online: | https://doi.org/10.1155/2018/2157937 https://www.hindawi.com/journals/mpe/2018/2157937/ |
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