基于双参数直觉模糊集的评估模型  

An Evaluation Model Based on the Double BalanceFactors of Intuitionistic Fuzzy Set

作　　者：段传庆[1] DUAN Chuan-qing(School of Mathematics, Hefei University of Technology, Hefei 230601, China)

机构地区：[1]合肥工业大学数学学院,合肥230601

出　　处：《大学数学》2020年第5期88-92,共5页College Mathematics

基　　金：合肥工业大学博士专项科研资助基金(JZ2018HGBZ0086);课程规划设计研究项目(XJKC201802)。

摘　　要：基于直觉模糊集的评估指标建立了双参数的汽车评估模糊决策系统.该系统以购车模型为例,引入了双参数的平衡因子,提出了基于熵与离差最大化法的优化数学模型对属性进行赋权,通过方案与理想解的关联系数进行排序,为模糊环境下的评估模型提供了一种新的评价方法.Based on the intuitionistic fuzzy set evaluation index system,the fuzzy decision system of double balance factors for chosing cars is established in this paper.In this paper,an envaluation model for buying a car is introduced.We introduces double balance factors,and then get attribute weights through attribute weights and maximizing the deviation between attribute values.At last,we rank the options by means of correlation coefficient on options and ideal solution.The method mentioned in this paper provides a new way for fuzzy evaluation model.

关 键 词：直觉模糊集 权重 模糊决策系统 平衡因子 

分 类 号：O159[理学—数学]