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Uncertain Probabilistic Linguistic Term Sets in Group Decision Making

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Abstract

The probabilistic linguistic term set has been proposed to deal with the probabilistic distribution in providing linguistic assessments. However, because of various subjective and objective situations, it is usually hard for the decision makers to provide the probabilities of linguistic assessments exactly. The existing methods still have some shortcomings in dealing with ignorance. In this paper, we propose the concept of uncertain probabilistic linguistic term set (UPLTS) to serve as an extension of the existing tools. First, some basic operational laws and aggregation operators for the UPLTS are presented. Then, we develop an aggregation-based method and present the application of the UPLTSs in multiple attribute group decision making. Finally, a practical case is shown to illustrate the UPLTS.

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Acknowledgements

The work was supported by the National Natural Science Foundation of China (Nos. 71571123, 71771155) and the Major Program of the National Social Science Fund of China (Grant No. 17ZDA092).

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Authors and Affiliations

  1. School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, 210044, Jiangsu, China

    Chen Jin & Zeshui Xu

  2. School of Government Audit, Nanjing Audit University, Nanjing, 211815, Jiangsu, China

    Hai Wang

  3. Business School, State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu, 610064, Sichuan, China

    Zeshui Xu

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  1. Chen Jin
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  2. Hai Wang
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  3. Zeshui Xu
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Correspondence to Zeshui Xu.

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Jin, C., Wang, H. & Xu, Z. Uncertain Probabilistic Linguistic Term Sets in Group Decision Making. Int. J. Fuzzy Syst. 21, 1241–1258 (2019). https://doi.org/10.1007/s40815-019-00619-9

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  • DOI: https://doi.org/10.1007/s40815-019-00619-9

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