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Article type: Research Article
Authors: Gong, Zengtai; * | Jiang, Taiqiang
Affiliations: College of Mathematics and Statistics, Northwest Normal University, Lanzhou, China
Correspondence: [*] Corresponding author. ZengTai Gong. Tel.: +86-09317971430. E-mail: gongzt@nwnu.edu.cn, zt-gong@163.com.
Note: [1] This work is supported by National Natural Science Foundation of China (Grant Nos. 12061067).
Abstract: In the existing conflict analysis models, they used a triangular fuzzy number on [0, 1] to describe the range of an agent’s attitude towards an issue, but there are still some shortcomings in describing the specific attitude and degree of conflict represented by the triangular fuzzy number. In this paper, the conflict analysis model is extended, improved and perfected. Firstly, the expectation of triangular fuzzy number is used in the [-1, 1] triangular fuzzy information system to reasonably express the specific attitudes represented by a triangular fuzzy number. Secondly, the weights of each issue are obtained by using the Sugeno measure, which determines the total attitude of the agent towards all issues. Thirdly, the relationship between agents is obtained with the help of the weighted distance of triangular fuzzy numbers. Finally, the thresholds α and β are calculated by means of triangular fuzzy decision theory rough sets.
Keywords: Conflict analysis, three-way decisions, triangular fuzzy number
DOI: 10.3233/JIFS-231296
Journal: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 1, pp. 2077-2090, 2024
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