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Soft Computing

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29.07.2019 | Methodologies and Application

A dynamic expert contribution-based consensus model for hesitant fuzzy group decision making with an application to water resources allocation selection

verfasst von: Yejun Xu, Xia Liu, Lizhong Xu

Erschienen in: Soft Computing | Ausgabe 6/2020

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Abstract

This research focuses on group decision making (GDM) under hesitant fuzzy condition. All experts (decision makers) are allowed to use hesitant fuzzy preference relations (HFPRs) to express their opinions. Subsequently, a dynamically expert contribution-based consensus model is developed for GDM with HFPRs. In the proposed method, a combination of a weight update model and a preference adjustment model is applied to consensus reaching processes (CRPs). In the weight update model, we propose to dynamically update experts’ weights according to their contributions in the CRPs. In the preference adjustment model, only the preferences which are far away from the expected values are modified, aiming to retain the experts’ original information as much as possible. Finally, the proposed model is applied to water resources allocation selection to show how it works in practice. And some comparisons and discussions are given to show the advantages of the proposed method.

Vorheriger Artikel A fuzzy similarity-based rough set approach for attribute selection in set-valued information systems

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Titel: A dynamic expert contribution-based consensus model for hesitant fuzzy group decision making with an application to water resources allocation selection
verfasst von: Yejun Xu
Xia Liu
Lizhong Xu
Publikationsdatum: 29.07.2019
Verlag: Springer Berlin Heidelberg
Erschienen in: Soft Computing / Ausgabe 6/2020
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-019-04229-3

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