基于POWAD算子的犹豫模糊语言多属性决策方法
Method for Hesitant Fuzzy Linguistic Multi-Attribute Decision Making Based on POWAD Operator
摘要: 为了综合考虑决策问题的概率信息和决策专家的犹豫不决和态度特征，将概率有序加权平均距离(POWAD)算子推广到犹豫模糊语言环境，介绍了犹豫模糊语言概率有序加权平均距离(HFLPOWAD)算子。基于TOPSIS方法，根据决策方案与理想方案的综合贴近度，提出了一种犹豫模糊语言多属性群决策方法。最后，通过一个投资项目的选择案例阐明了该方法的有效性。
Abstract: In order to comprehensively consider the probability information of decision making problems and the attitude characteristics of decision experts, the hesitant fuzzy linguistic probabilistic ordered weighted averaging distance (HFLPOWAD) operator is introduced by extending the probabilistic ordered weighted averaging distance (POWAD) operator to hesitant fuzzy linguistic environment. Based on TOPSIS method, the approach for hesitant fuzzy linguistic multi-attribute group decision making is proposed according to the comprehensive closeness coefficient of the decision alternatives relative to the ideal alternative solution. Finally, an investment selection problem is employed to illustrate the effectiveness of the approach.
文章引用：朱丽, 陈静, 王旭光. 基于POWAD算子的犹豫模糊语言多属性决策方法[J]. 运筹与模糊学, 2021, 11(2): 238-246. https://doi.org/10.12677/ORF.2021.112028

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