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基于熵满意度的多信息协同决策方法

         

摘要

For solving the uncertainty of decision maker's judgment and different type information transformation in the process of collaboration decision-making, in allusion to the two types preference information of interval reciprocal judgment matrix and interval complementary judgment matrix, this paper constructed function of degree of satisfaction, built linear programming model taking degree of satisfaction as object, and used entropy theory for integrate collaboration of each group's decision result to obtain optimum solution. The example shows that this method is simple and feasible, and it can provide reference for final decision-making.%为解决协同决策过程中决策者判断及不同形式信息转化的不确定性,针对决策者给出的区间互反判断矩阵与区间互补判断矩阵2种形式的偏好信息,构造相应群体的满意度函数,建立了以满意度为目标的线性规划模型,并应用熵理论对各群体决策结果进行综合协同,得到决策最优解.实例表明该方法简单易行,可为最终决策提供参考.

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