基于灰关联分析和相对熵的多属性决策排序方法

Compositor Method Based on Grey Correlation Analysis and Relative Entropy for Multiple Attribute Decision Making

在灰关联分析和相对熵决策方法的基础上，结合各自的优点，提出了一种解决多属性决策问题排序的新方法．首先利用改进熵对评价属性进行赋权，其次计算被评方案与理想方案和负理想方案的灰色关联度和相对熵，最后根据相对贴近度的大小对被评方案进行排序，案例说明了决策方法的有效性和实用性．

An new method for solving multiple attribute decision making problem sorting is proposed on the basis of grey relation analysis First evaluation indexes are given weight by and relative entropy decision-making method. the improved entropy weiht method, then to calculate grey correlation degree and relative entropy of ideal scheme and negative ideal, finally to sort for evaluated programs according to the size of the relative closeness, the case shows the validity and practicability of the decision making method.