摘要
对多属性决策问题和信息集结问题进行了研究,分析了已有Vague集方法,并通过例子说明其不足之处。提出了一种多属性决策的Vague集方法。定义了方案对目标的支持(反对、中立)度等概念,利用目标优属度矩阵对属性值及属性权重进行集结,从而得到方案的Vague估计值。定义正(负)理想Vague值,并用TOPSIS法对方案进行排序和选优。算例验证了该方法的有效性和可行性。
The multi-attribute decision making and information aggregation problems are studied. The present vague set method is analyzed and their shortcoming is showed by example. A new vague set method for multi-attribute decision making is presented. The concepts of the favor （against, neutral） grade of each alternative to the attributes are defined. Using the objective-grade-membership matrix, the attribute values are aggregated, and the vague evaluation of each alternative is obtained. The idea （anti-idea） vague values are defined, then all alternatives are ranked and the best one is selected using the TOPSIS method. An example shows that the proposed method is effective and feasible.
出处
《计算机工程与设计》
CSCD
北大核心
2007年第7期1614-1616,共3页
Computer Engineering and Design
关键词
多属性决策
支持
反对
中立度
目标优属度矩阵
VAGUE集
直觉模糊集
信息集结
multi-attribute decision making
the favor （against, neutral） grade
objective-grade-membership matrix
vague sets
intuitionistic fuzzy sets
information aggregation
