摘要
针对权重信息不完全的多目标决策问题,提出了在模糊约束条件下求解局部最优权,空间距离函数确定全局最优权的决策方法。首先利用模糊线性规划求解在模糊约束条件下的各方案最优权向量;然后利用各方案最优权向量与全局最优权向量距离和最小确定全局最优权向量;最后同其他方法进行比较,结果验证本方法可靠性更高,适合对权重精度要求较高的决策问题。
To multi- objective decision -making problems based on partial weight information, an improved method is proposed. This method presents fuzzy liner programming to solve the optimal weights of projects, and the space distance function to solve the optimal overall weights. In this paper, firstly, using fuzzy liner programming to solve the optimal weights of projects under fuzzily constant conditions. Then, the solving of the optimal overall weights is based on the minimum distance between the optimal weights of projects and the optimal overall weights. Finally, this paper presents compares with other methods. The results show the method is more reliable, decision - making problems of higher requested precision are suggested to use the method.
出处
《科学决策》
2009年第8期81-86,共6页
Scientific Decision Making
关键词
多目标决策
不完全权重
模糊线性规划
空间距离函数法
multi -objective decision- making
weight
fuzzy liner programming
space distance function
