An overview of probabilistic hesitant fuzzy decision-making theory and methods

被引：0
|
作者：
Xu Z.-S. [1 ]
Zhang S. [1 ]
机构：
[1] Business School, Sichuan University, Chengdu
来源：
Kongzhi yu Juece/Control and Decision | 2021年 / 36卷 / 01期
关键词：
Group decision-making; Information fusion; Multi-attribute decision-making; Preference relations; Probabilistic hesitant fuzzy sets;
D O I：
10.13195/j.kzyjc.2020.0465
中图分类号：
学科分类号：
摘要：
The probabilistic hesitant fuzzy set adds probability values which are corresponding to each membership degree on the basis of the hesitant fuzzy set (HFS). Compared with the HFS, it can express the initial decision-making information given by experts more accurately and comprehensively. Therefore, the probabilistic hesitant fuzzy decision-making theory and methods are more reliable and practical. This article reviews the probabilistic hesitant fuzzy decision-making theory and methods. It first introduces its development process, then separately expounds its information fusion theory, preference relations theory and decision-making methods, and finally looks forward to the future research directions of the probabilistic hesitant fuzzy decision-making theory and methods. Copyright ©2021 Control and Decision.
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页码：42 / 51
页数：9
相关论文
共 86 条
  • [1] Zadeh L A., Fuzzy sets, Information and Control, 8, 3, pp. 338-356, (1965)
  • [2] Torra V., Hesitant fuzzy sets, International Journal of Intelligent Systems, 25, 6, pp. 529-539, (2010)
  • [3] Zhu B., Decision method for research and application based on preference relation, (2014)
  • [4] Tian X L, Xu Z S, Fujita H., Sequential funding the venture project or not? A prospect consensus process with probabilistic hesitant fuzzy preference information, Knowledge-Based Systems, 161, pp. 172-184, (2018)
  • [5] Zhou W, Xu Z S., Expected hesitant VaR for tail decision making under probabilistic hesitant fuzzy environment, Applied Soft Computing, 60, pp. 297-311, (2017)
  • [6] Wu W Y., Research on group decision making method with generalized probabilistic hesitant fuzzy information and their applications in supplier selection, (2019)
  • [7] Jiang F J, Ma Q G., Multi-attribute group decision making under probabilistic hesitant fuzzy environment with application to evaluate the transformation efficiency, Applied Intelligence, 48, 4, pp. 953-965, (2018)
  • [8] Zhou X L, Ma Q G., Probabilistic hesitant fuzzy algorithm and its application for selection method of network public opinion prediction model, Computer Engineering and Applications, 55, 4, pp. 179-184, (2019)
  • [9] Goguen J., L-fuzzy sets, Journal of Mathematic Analysis and Application, 18, 1, pp. 145-174, (1967)
  • [10] Dubois D, Prade H., Fuzzy sets and systems: Theory and applications, pp. 62-67, (1980)
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