摘要
研究了权重信息不完全且对方案有偏好的梯形模糊数多属性决策问题.在α截集下引入偏差函数,通过构造目标规划模型求解属性的权重向量,进而求得α截集下方案的排序向量,再将不同α截集下的排序向量进行集结,得出方案的综合排序向量,最后通过算例说明该方法的可行性和有效性.
The problem of trapezoidal fuzzy number multiple attribute decision making is investigated, in which the information about attribute weights is incomplete and the decision maker has preference on alter- natives. The weight vector of attributes is obtained by constructing the deviation function and establishing goal programming model under different a-cuts in order to derive the ranking vector of alternatives. Then a total ranking vector is acquired by aggravating different vectors under different a-cuts. A practical example is illustrated to show the feasibility and availability of the developed method.
出处
《重庆工学院学报（自然科学版）》
2008年第7期145-147,152,共4页
Journal of Chongqing Institute of Technology
关键词
梯形模糊数
a截集
权重
偏好
trapezoidal fuzzy number
a-cuts
weight
preference
