直觉模糊云Bonferroni赋权均值算子集成方法研究  

Research on the Integration Method of Intuitionistic Fuzzy Cloud Bonferroni Weighted Mean Operator

作　　者：周金明[1] 詹媛媛 李龙莲 陶胜男 ZHOU Jin-ming;ZHAN Yuan-yuan;LI Long-lian;TAO Sheng-nan(School of Mathematics-Physics and Finance,Anhui Polytechnic University,Wuhu 241000,China)

机构地区：[1]安徽工程大学数理与金融学院,安徽芜湖241000

出　　处：《数学的实践与认识》2023年第6期187-196,共10页Mathematics in Practice and Theory

基　　金：国家社会科学基金一般项目(20BTJ048)。

摘　　要：文章结合云模型与Bonferroni几何均值算子给出一种决策方法,根据直觉模糊云的概念及其代数运算,采用直觉模糊云逆向云生成算法,构建直觉模糊规范加权Bonferroni云模型集成算子;最后,算例分析结果表明本文方法的有效性和可行性.In this paper,a decision method is given by combining the cloud model and Bonferroni geometric mean operator.According to the concept of intuitionistic fuzzy cloud and its algebraic operation,an intuitionistic fuzzy normalized weighted Bonferroni cloud model integration operator is constructed by using the inverse cloud generation algorithm of intuitionistic fuzzy cloud;Finally,the results of an example show the effectiveness and feasibility of the proposed method.

关 键 词：云模型 直觉模糊 集成 逆向云 

分 类 号：O159[理学—数学] O225[理学—基础数学]