JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2025, Vol. 60 ›› Issue (1): 111-119.doi: 10.6040/j.issn.1671-9352.0.2023.305

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Intuitive hesitation blur soft expert set and its application to decision making

ZHENG Yingchun, ZHOU Wanting*   

  1. School of Science, Xian University of Science and Technology, Xian 710054, Shaanxi, China
  • Published:2025-01-10

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Abstract: Theory of intuitive fuzzy soft expert set(IFSES)is expanded, the concept of intuitive hesitation fuzzy soft expert set is improved. The basic operation of the fuzzy soft expert set is defined and a series of important properties is studied. The intuitive hesitation fuzzy soft expert set decision algorithm is given. In the algorithm, evaluation information to the alternative is considered based on the decision maker and weight to the parameter set is given. And the intuitive hesitation fuzzy soft expert set decision algorithm is applied to practical recruitment problems. The composite score of each candidate is calculated by the score function. The best candidate is obtained from large to small. Compared with other soft set decision models, soft expert set decision model is simple and accurate. Through comparative analysis, intuitive hesitation fuzzy soft expert set decision model has better combination, decision-making and application.

Key words: intuitive hesitation fuzzy set, soft expert set, intuitive hesitation fuzzy soft expert set, decision analysis

CLC Number: 

  • O159
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