基于属性关联的犹豫模糊TODIM多属性决策方法

Hesitant Fuzzy TODIM Multiple Attribute Decision-making Method Based on Attribute Association

针对属性值为犹豫模糊信息,且已知属性关联的多属性决策问题进行了研究;首先引入测度函数,参照依赖和损失规避心理行为,对每个属性下相对参照点进行方案两两之间的优势-劣势比较,构建在每个属性下方案的收益-损失矩阵;依据Choquet积分和TODIM方法的基本思想,计算方案的个体感知优势度,在此基础上,计算备选方案的总体感知优势度,进而对方案进行排序;最后通过一个算例分析表明所提出方法的可行性和有效性.

According to that attribute value is hesitant fuzzy information,the known attribute association multiple attribute decision-making problems are studied. This paper firstly introduces measure function,reference dependence and loss aversion behavior to compare the advantages and disadvantages between the two schemes relative to the reference point for each attribute,constructs return-loss matrix of the scheme under each attribute,calculates the individual perception dominance of the scheme according to the basic idea of Choquet integral and TODIM method,based on this,calculates overall perception dominance of the candidate scheme,then sorts the program,and finally verifies the feasibility and validity of this method through a numerical example.