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Neural Computing and Applications
Erschienen in: Neural Computing and Applications 9/2020

22.01.2019 | Original Article

Multiple-attribute group decision making for interval-valued intuitionistic fuzzy sets based on expert reliability and the evidential reasoning rule

verfasst von: Haining Ding, Xiaojian Hu, Xiaoan Tang

Erschienen in: Neural Computing and Applications | Ausgabe 9/2020

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Abstract

This study proposes a novel fuzzy multiple-attribute group decision-making approach based on expert reliability and the evidential reasoning (ER) rule in an interval-valued intuitionistic fuzzy environment. First, to determine the reliabilities of experts, an objective method is developed by combining the similarity between the assessments provided before and after group discussion. Second, the proposed approach extends the ER rule to the case where belief degrees are intervals and employs it to combine experts’ assessments. Hereinto, several optimization models are established to produce the aggregated assessments of the alternatives. Then, the overall priority degree of each alternative can be obtained according to the aggregated assessments and further utilized to yield a ranking of alternatives. Finally, a shopping center site selection problem is analyzed by the proposed approach to demonstrate its validity and applicability.
Vorheriger Artikel An enhanced associative learning-based exploratory whale optimizer for global optimization
Nächster Artikel Weighted Huber constrained sparse face recognition

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Metadaten
Titel
Multiple-attribute group decision making for interval-valued intuitionistic fuzzy sets based on expert reliability and the evidential reasoning rule
verfasst von
Haining Ding
Xiaojian Hu
Xiaoan Tang
Publikationsdatum
22.01.2019
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 9/2020
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-019-04016-z

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