Sun Gang, Hua Weican, Wang Guijun
School of Science, Hunan Institute of Technology, Hengyang, 421002 Hunan China.
School of Mathematical Science, Tianjin Normal University, Tianjin, 300387 China.
Appl Intell (Dordr). 2022;52(15):18226-18247. doi: 10.1007/s10489-022-03749-0. Epub 2022 Jul 15.
Interactive group evaluation is a decision-making method to obtain group consensus by constantly modifying the initial weight of experts. Probabilistic hesitant Pythagorean fuzzy set (PrHPFS) is to be added the corresponding probability values for each membership degree and non-membership degree on the hesitant Pythagorean fuzzy set (HPFS). It is not only a generalization of HPFS and the Pythagorean fuzzy set (PFS), but also a more comprehensive and accurate reflection of the initial decision information given by experts. Especially, it can deal with the decision-making problem of multi-attribute fuzzy information in a wider area. In this paper, some basic definitions and related operations of the probabilistic hesitant Pythagorean fuzzy numbers (PrHPFNs) are first reviewed, and propose score function and accuracy function in PrHPFNs environment. Secondly, the concepts of Hamming distance measure, weighted distance measure and degree of similarity are put forward in PrHPFNs space, and the degree of similarity of two probabilistic hesitant Pythagorean fuzzy matrices (PrHPFMs) is suggested through the aggregation operator formula of PFNs. Finally, an interactive group decision-making method is designed based on the PrHPFM and the degree of similarity under the PrHPFNs environment, the effectiveness of the method is verified by an example, so as to overcome the hesitant psychological state of experts and achieve the consistent consensus evaluation of group preference.
交互式群体评价是一种通过不断修正专家初始权重来达成群体共识的决策方法。概率犹豫毕达哥拉斯模糊集(PrHPFS)是在犹豫毕达哥拉斯模糊集(HPFS)的基础上,为每个隶属度和非隶属度添加相应的概率值。它不仅是HPFS和毕达哥拉斯模糊集(PFS)的推广,而且能更全面、准确地反映专家给出的初始决策信息。特别是,它可以在更广泛的领域处理多属性模糊信息的决策问题。本文首先回顾了概率犹豫毕达哥拉斯模糊数(PrHPFNs)的一些基本定义和相关运算,并在PrHPFNs环境下提出了得分函数和精度函数。其次,在PrHPFNs空间中提出了汉明距离测度、加权距离测度和相似度的概念,并通过PFNs的聚合算子公式给出了两个概率犹豫毕达哥拉斯模糊矩阵(PrHPFMs)的相似度。最后,设计了一种基于PrHPFM和PrHPFNs环境下相似度的交互式群体决策方法,通过实例验证了该方法的有效性,以克服专家的犹豫心理状态,实现群体偏好的一致性共识评价。