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q阶三角犹豫模糊BM算子及其多属性决策应用
引用本文:任耀军,袁修久,黄林. q阶三角犹豫模糊BM算子及其多属性决策应用[J]. 系统工程与电子技术, 2022, 44(1): 181-191. DOI: 10.12305/j.issn.1001-506X.2022.01.23
作者姓名:任耀军  袁修久  黄林
作者单位:空军工程大学基础部, 陕西 西安 710051
基金项目:国家自然科学基金(11671007);陕西省自然科学基金(2019JM-271);基础部研究生创新基金项目资助课题。
摘    要:为解决更为广泛的模糊决策问题,同时使决策信息与人的认知思维更为贴近,结合q阶犹豫模糊集和三角模糊数,提出了q阶三角犹豫模糊集的概念并定义了q阶三角犹豫模糊集运算.为了刻画信息集成过程中评价信息之间存在的关联关系,将Bonferroni平均算子推广至q阶三角犹豫模糊集,提出了q阶三角犹豫模糊Bonferroni平均算子....

关 键 词:q阶三角犹豫模糊集  Bonferroni平均算子  广义Bonferroni平均算子  多属性决策
收稿时间:2020-09-12

q-rung hesitant triangular fuzzy BM operator and its application in multiple criteria decision making
REN Yaojun,YUAN Xiujiu,HUANG Lin. q-rung hesitant triangular fuzzy BM operator and its application in multiple criteria decision making[J]. System Engineering and Electronics, 2022, 44(1): 181-191. DOI: 10.12305/j.issn.1001-506X.2022.01.23
Authors:REN Yaojun  YUAN Xiujiu  HUANG Lin
Affiliation:Department of Basic Sciences, Air Force Engineering University, Xi'an 710051, China
Abstract:In order to solve a wider range of fuzzy decision-making problems, and at the same time make decision information closer to human cognitive thinking, combining q-rung hesitant fuzzy sets and triangular fuzzy numbers, the concept of q-rung hesitant triangular fuzzy sets is proposed and the operation of q-rung hesitant triangular fuzzy sets is defined. In order to describe the relationship between evaluation information in the process of information integration, the Bonferroni mean operator is extend to the q-rung hesitant triangular fuzzy set, and the q-rung hesitant triangular fuzzy Bonferroni mean operator is proposed. In order to describe more correlations, the generalized Bonferroni mean operator is extend to the q-rung hesitant triangular fuzzy set, and the q-rung hesitant triangular fuzzy generalized Bonferroni mean operator is proposed. Considering that the importance of different attributes of evaluation information is different, their weighted form is proposed. In the end, a multi-attribute decision-making method under q-rung hesitant triangular fuzzy environment is proposed and verified the experimental results by an example.
Keywords:q-rung hesitant triangular fuzzy set  Bonferroni mean operator  generalized Bonferroni mean operator  multiple criteria decision-making
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