Decision Method of Probabilistic Hesitant Fuzzy Information Based on Hamacher Aggregation Operators and MULTIMOORA

被引：0
|
作者：
Zhu Y. [1 ]
Gao L. [2 ]
机构：
[1] School of Mathematics and Statistics, Shaanxi Xueqian Normal University, Xi'an
[2] School of Computer Science, Northwestern Polytechnical University, Xi'an
来源：
Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University | 2020年 / 38卷 / 06期
关键词：
Hamacher operation; Multiple attribute decision making; MULTMOORA method; Probabilistic hesitant fuzzy;
D O I：
10.1051/jnwpu/20203861361
中图分类号：
学科分类号：
摘要：
Aiming at solving the problem of probability hesitation fuzzy multi-attribute decision making, a new decision-making method of probability hesitation fuzzy multi-attribute is proposed in this paper, based on Hamacher operations and MULTIMOORA method. Firstly, probability hesitation fuzzy Hamacher operations are defined, including sum, product, scalar multiplication and exponentiation, and their properties are studied. On this basis, probability hesitation fuzzy Hamacher weighted average operator and probability hesitation fuzzy Hamacher weighted geometric average operator are proposed, and their properties are also studied. Secondly, alternative from multiple perspectives are chosen and compared by using the MULTIMOORA method. Finally, the effectiveness and feasibility of the decision-making method are verified by an example. © 2020 Journal of Northwestern Polytechnical University.
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页码：1361 / 1369
页数：8
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