摘要
基于决策者按各自模糊愿望水平给出的偏好信息，将多目标群决策问题等价成模糊规划问题加以交互迭代求解，应用双向搜索算法处理决策者间的抵触性，求取一个满意解。
An algorithm for solving interactive multiobjective group decision problems is presented, which totum to the fuzzy programming iteration problem by varying the decision-makers' fuzzy aspiration levelsin terms of input preference information. Since conflict in aspiration levels usually entails on infeasiblesituation, a binary search algorithm is applied to the set of aspiration levels until a feasible efficientand acceptable compromise solution is obtained.
出处
《浙江工业大学学报》
CAS
1997年第4期275-280,共6页
Journal of Zhejiang University of Technology
基金
国家自然科学基金
中国博士后科学基金!79500015
关键词
交互式
多目标群决策
模糊规划
隶属函数
Interactive
Multiobjective group decisions
Fuzzy programming
Membership functions
Binary search algorithms
