对指标属性有偏好信息的最小隶属度偏差决策方法

The Deviation Method of Minimun Subordinative Degree with Favouritism Information for the lndex Attribute

首先介绍了多指标决策问题中的一种最小隶属度偏差法 ,然后将它与对指标有偏好的评价问题相结合 ,给出一种简便、实用的评价方法 ,并以实例说明该方法的有效性。

First,we introduce a solution—the deviation method of minimun subordinative degree which is used in some objective decision making. Then we apply this method to the multiple attribute decision problem that has favouritism information for the index. Thus, we get a simple, practical method in decision making. A practical example is also given to show the effectiveness of this method.