IVIFS环境下基于模糊熵和得分函数的多准则决策方法  

Decision-making Method Based on Fuzzy Entropy and Score Function under IVIFS Environment

作　　者：孙贵玲[1] 张建华[2] 

机构地区：[1]黄河科技学院信息工程学院,河南郑州450006 [2]江苏师范大学电气工程及自动化学院,江苏221116

出　　处：《模糊系统与数学》2013年第1期113-117,共5页Fuzzy Systems and Mathematics

基　　金：国家自然科学基金项目(61004088);国家航空科学基金项目(20100157001)

摘　　要：在区间直觉模糊环境和各准则的信息完全未知的条件下,本文提出了一个基于模糊熵和得分函数的多准则决策方法。基于区间直觉模糊集的准则形式,本文给出了模糊熵模型,从而可以确定各准则的权重。在决策方法方面,作者提出了区间直觉模糊集的加权记分函数和加权精确函数,解决了记分函数无法解决的加权问题的难题,同时给出了一种新的决策方法。最后,文章通过实例说明了该方法的可行性和有效性。The paper propose a new multicriteria decision-making method based on score entropy weighted in the situation of interval-valued intuitionistic fuzzy environment and completely unknown criteria weight information. As series of criterions are given in form of intervalvalued intuitionistic fuzzy set, we establish an entropy model, which can be used to get the criteria weights. In the decision-making method, the paper first ameliorate weighted score function and weighted accuracy function of interval valued [ntuitionistic fuzzy sets, solve the problem of weighted problems can＇t be dealt with score function, and propose a new method. Finally, the paper demonstrate the availability of the method by example.

关 键 词：区间直觉模糊集 多准则决策问题 加权记分函数 模糊熵 

分 类 号：O159[理学—数学]