摘要
鉴于现有的综合评价方法大多为刚性的评价,不适用于模糊因素评价,提出了一种基于中介真值程度度量的模糊综合评价方法,对效益型指标、成本型指标和区间型指标3种情况下的真值程度度量过程和参数取值方法进行了设计;并基于真值程度度量结果构造了中介模糊评判矩阵来进行综合评价。为处理模糊信息创建了中介数学系统。相比传统模糊评价方法,基于中介真值程度度量的模糊综合评价方法更具有客观性,因此能更有效地处理模糊现象。与其他综合评价方法的对比实验表明,所提出的方法是有效的,并具有一定的优越性。
Aiming at the problems that most of the existing comprehensive evaluation methods give rigid evaluation results,and they do not apply to the evaluation of objects with fuzzy factors,a comprehensive evaluation method based on measure of medium truth degree was proposed.The processes of the measure of medium truth degree and the methods of setting the parameters were designed respectively when different types of indexes,such as beneficial index,cost index and interval index,were given.Afterwards,the intermediary fuzzy evaluation matrix was constructed based on the measurement results of medium truth degree.Intermediary mathematical system was created for processing fuzzy information.Compared to the traditional fuzzy evaluation method,the comprehensive evaluation method based on the measure of medium truth degree is more objective so that it is able to deal with fuzzy phenomenon more effectively.The comparative experimental results indicate that compared to other evaluation methods,the proposed method is valid and has certain advantages.
出处
《计算机科学》
CSCD
北大核心
2016年第2期204-209,共6页
Computer Science
基金
国家973计划资助项目(2014CB744901
2014CB744903
2014CB744904
2014CB744905)资助
关键词
中介真值程度度量
模糊综合评价
隶属函数
中介熵
多属性体系结构
Measure of medium truth degree
Fuzzy comprehensive evaluation
Membership function
Intermediary entropy
Multi-attribute architecture