不确定型多属性决策的权系数确定及其应用

Determine the Weights of Uncertain Multi-Attribute Decisionmaking and Its Application

研究了属性权重信息完全未知且属性值以区间数形式给出的不确定型多属性决策问题,提出了一种基于区间数相离度的不确定型多属性决策权系数确定方法——标准差和平均差极大化方法,并给出了一种基于可能度的决策方案排序方法。最后,通过实例表明了该方法的实用性和有效性。

This paper studies a kind of uncertain multi-attribute decision-making problems, in which the information about the attribute weights are unknown completely and the attribute values are in the forms of interval numbers, and presents a method based on deviation degree of interval numbers for determining the weights of multi-attribute decision making problems by maximizing standard and mean deviations. A new method based on possibility degree is given to get the priorities of alternatives. Finally, a numerical example is given to show the feasibility and effectiveness of the developed method.