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Distribution Linguistic Trust Propagation and Aggregation Based on Numerical Scale and Archimedean t−norm

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Abstract

Trust network analysis has been widely applied in various fields, such as group recommendation, group decision-making and other related areas. In this paper, we focus on obtaining the complete trust network in which experts express their trust relationships for another with a single linguistic term or distribution assessments of a linguistic term set. We first discuss the conditions of obtaining the complete trust network, and the propagation and aggregation of the trust relationships with a single linguistic term. Since the linguistic term set may be symmetric and uniform, symmetric and non-uniform, or asymmetric and non-uniform, we translate linguistic terms into numerical indexes and define the propagation operator based on the semantics of the linguistic term and the Archimedean t-norm. The propagation result is translated to 2−tuple linguistic model because it may not exist in the initial linguistic term set. Some properties are proposed to verify that the proposed operator is compatible with human thought. Then the 2−tuple distribution assessments on a linguistic term set are defined, and the other aggregation operator is proposed to propagate linguistic distribution assessment trust relationships. The second aggregation operator focuses on both the aggregation of linguistic terms and symbolic proportions of linguistic terms and is a generalization of the first operator. Finally, a numerical example of CouchSurfing comparative analyses further demonstrates that the proposed operators are effective and reasonable, and can consider the different semantics of a linguistic term in practical application.

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Acknowledgements

This work was supported by National Natural Science Foundation of China (71971190); Postgraduate Research & Practice Innovation Program of Jiangsu Province under Grant, China (KYCX22_3444); Shandong Provincial Natural Science Foundation, China (ZR2020MA027).

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Author notes

  1. Xueling Zhou, Shengli Li and Cuiping Wei have contributed equally to this work.

Authors and Affiliations

  1. College of Mathematical Science, Yangzhou University, Yangzhou, 225002, Jiangsu, China

    Xueling Zhou & Cuiping Wei

  2. Department of Mathematics, Taiyuan Normal University, Taiyuan, 030619, Shanxi, China

    Shengli Li

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  1. Xueling Zhou
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  2. Shengli Li
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  3. Cuiping Wei
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Contributions

Xueling Zhou: Conceptualization, Methodology, Writing-original draft. Shengli Li: Methodology, Writing-review & editing. Cuiping Wei: Methodology, Writing-review & editing.

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Correspondence to Cuiping Wei.

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Zhou, X., Li, S. & Wei, C. Distribution Linguistic Trust Propagation and Aggregation Based on Numerical Scale and Archimedean t−norm. Int. J. Fuzzy Syst. (2024). https://doi.org/10.1007/s40815-024-01687-2

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