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

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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.

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Acknowledgements

This work was partly supported by the Key Project of National Science Foundation of China (NSFC) (Grant No. 71433003), the Fundamental Research Funds for Central Universities (No. 2019B81514) and the National Natural Science Foundation of China (NSFC) (No. 71871085).

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Authors and Affiliations

  1. Business School, Hohai University, Nanjing, 211100, People’s Republic of China

    Yejun Xu & Xia Liu

  2. College of Computer and Information Engineering, Nanjing, 211100, People’s Republic of China

    Lizhong Xu

Authors
  1. Yejun Xu
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  2. Xia Liu
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  3. Lizhong Xu
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Correspondence to Yejun Xu.

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Communicated by V. Loia.

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Xu, Y., Liu, X. & Xu, L. A dynamic expert contribution-based consensus model for hesitant fuzzy group decision making with an application to water resources allocation selection. Soft Comput 24, 4693–4708 (2020). https://doi.org/10.1007/s00500-019-04229-3

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