摘要
对具有一般信息结构（即决策者偏好信息完全确知、完全不确知和部分不确知）的模糊多属性决策问题作了研究，建立了最大隶属度加权平均规划方法和最小隶属度加权平均偏差法．实例说明这两种方法可行、有效且易实现。
This paper investigated fuzzy multiattribute decision making problems with general information structure(i.e.,decision maker' preference information complete known,and complete unknown and incomplete known),established the maximum membership average weighted programming method and the minimum membership average weighted deviation method. The real example demonstrated feasibility and effectiveness of the two methods proposed in this paper.A new way is presented to solve the fuzzy multiattribute decision makings with general information structure.
出处
《管理科学学报》
1998年第3期41-44,共4页
Journal of Management Sciences in China
基金
辽宁省博士起动基金
关键词
多准则决策
隶属度
信息结构
模糊多属性决策
multicriterion decision making,membership,information structure,weight
