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基于决策者的效用函数,通过将客观属性值矩阵转换为主观属性值矩阵来反映决策者对属性值的不同判断.首先通过使用熵权法,依据属性的主观值矩阵和客观值矩阵分别确定属性的主观权重和客观权重;然后基于最小叉熵准则构建优化模型,将所有决策者的主观属性权重综合成一个权重向量;最后,再次利用最小叉熵准则集成属性的主观权重和客观权重.所提出方法充分考虑了所有决策者对多属性决策问题的不同判断,提供了一种基于信息熵的可行权重集成方法.
Based on the decision maker’s utility function, the decision maker’s different judgment of attribute value is reflected by converting the objective attribute value matrix into the subjective attribute value matrix.Firstly, by using the entropy method, the attributes are determined respectively according to the subjective value matrix and the objective value matrix The subjective weights of all decision-makers are integrated into one weight vector. Finally, the sub-weights and objective weights of the attributes are integrated by using the minimum-cross entropy criterion again. The method fully considers all the decision makers’ different judgments on multi-attribute decision-making, and provides a feasible weight integration method based on information entropy.