基于聚类算法的区间数多属性决策方法及应用

Method for Multiple Attribute Decision Making with Intervals Based on Clustering Algorithm and its Application

针对具有正态分布随机变量的多属性决策问题，依据属性均值聚类思想，提出了一种计算机编程求解方法．方法避开了区间数的运算和比较，评价结果不具有主观随意性．最后，我们给出了一个实际应用的例子，验证了方法的有效性．

This paper proposes a method for solving the multi-attribute decision making problems with normal random variables. The method is leaded by attribute mean clustering and the comparison between interval numbers is avoided. Finally, an illustrative example is given to demonstrate the feasibility and practicability of the proposed method.