基于交叉熵与TOPSIS的多属性群决策方法

A Multiple Attribute Group Decision Making Method Based on Cross Entropy and TOPSIS

基于交叉熵和TOPSIS原理考虑了一类专家和属性权重完全未知的直觉模糊多属性群决策问题,TOPSIS方法中应用交叉熵作为原始距离概念的度量,得出各个专家的方案排序信息,应用交叉熵确定专家权重并集结方案排序信息,获得群决策的最佳结果。结合一个实例表明该方法的可行性和有效性。

A method was proposed for intuitionistic fuzzy multiple attribute decision making problem with unknown experts＇ and attributes＇ weights based on cross entropy and TOPSIS theory. Cross entropy was used as the initial distance in the TOPSIS method to obtain the ranking information of experts ; and then it was used to produce the weights of experts in decision making. The optimal result of group decision making was achieved. Finally, an example was given to illustrate the feasibility and efficiency of the method.