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Multiple Attribute Group Decision-Making Approach Based on Multi-granular Unbalanced Hesitant Fuzzy Linguistic Information

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Abstract

Based on multi-granular hesitant linguistic theory and unbalanced linguistic information, this paper proposes multi-granular unbalanced hesitant fuzzy linguistic term set, which can better describe the fuzzy and uncertain information from multiple attribute group decision making (MAGDM). In order to solve decision-making problem with interrelated attributes (or decision makers), the multi-granular unbalanced hesitant fuzzy linguistic Choquet integral average operator is proposed, and some properties about this operator are investigated, then a novel group decision-making method by the proposed operator is developed, and an example is adopted to demonstrate the proceeding of this method. Finally, compared with two existing methods, the effectiveness of the proposed method in MAGDM is shown.

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Acknowledgements

This work is supported by the National Natural Science Foundation of China (Nos. 71771140, 71471172, and 71801142), the Special Funds of Taishan Scholars Project of Shandong Province (No. ts201511045).

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Authors and Affiliations

  1. School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan, 250014, Shandong, China

    Peide Liu & Lili Rong

  2. School of Science and Technology, Shandong TV University, Jinan, 250014, Shandong, China

    Lili Rong

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  1. Peide Liu
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Correspondence to Peide Liu.

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Liu, P., Rong, L. Multiple Attribute Group Decision-Making Approach Based on Multi-granular Unbalanced Hesitant Fuzzy Linguistic Information. Int. J. Fuzzy Syst. 22, 604–618 (2020). https://doi.org/10.1007/s40815-019-00672-4

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