Volume 38, Number 6, December 2020
|Page(s)||1361 - 1369|
|Published online||02 February 2021|
Decision Method of Probabilistic Hesitant Fuzzy Information Based on Hamacher Aggregation Operators and MULTIMOORA
School of Mathematics and Statistics, Shaanxi Xueqian Normal University, Xi'an 710100, China
2 School of Computer Science, Northwestern Polytechnical University, Xi'an 710072, China
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.
Key words: multiple attribute decision making / probabilistic hesitant fuzzy / Hamacher operation / MULTMOORA method
关键字 : 多属性决策 / 概率犹豫模糊 / Hamacher算子 / MULTIMOORA方法
© 2020 Journal of Northwestern Polytechnical University. All rights reserved.
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