Adaptive linguistic weighted aggregation operators for multi-criteria decision making |
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Affiliation: | 1. Institut de Recherche en Informatique de Toulouse IRIT, Université de Toulouse, 118 route de Narbonne, Toulouse Cedex 09 31062, France;2. Equipe de Recherche en Ingénierie des Connaissances ERIC, Université Claude Bernard Lyon 1, 43 bld du 11 novembre, Villeurbanne 69100, France |
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Abstract: | In this paper, we propose new aggregation operators for multi-criteria decision making under linguistic settings. The proposed operators are based on two sets of criteria weights. Besides the primary conventional criteria weights, we introduce a method to deduce secondary criteria weights from the criteria evaluations, which reflect the role of the different criteria in discriminating among the alternatives. The properties of the proposed operators are investigated. An approach for the application of the said operators in a group multi-criteria decision making problem is presented. Following the same, the proposed operators are applied in a case study on supplier selection. The empirical validation of the proposed operators is performed on a set of 12 real datasets.Note: All usages of he, him, his in the paper, also refer to she, and her. |
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Keywords: | Multi-criteria Decision making Linguistic evaluation Adaptive Aggregation operator Supplier selection |
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