摘要
提出了一种基于Vague集的动态多目标模糊决策方法。根据支持(反对、中立)目标集的定义,将单时段中的各方案表示成一个Vague值,各个时段的Vague值即构成了方案的Vague集描述,通过定义理想最优方案,利用Vague集之间的加权相似度量,计算各方案Vague集与理想最优方案Vague集的相似度,按照相似度的大小对方案进行排序,从而选出最优方案。算例验证了方法的有效性。
A new method of dynamic multi-objective fuzzy decision-making problems based on vague sets is proposed. Firstly, in a single period time, every alternative is denoted by a vague value through computing the sets of objective being in favor, against or neutral, for each alternative, all vague values in all period time are its vague set; Then, the conception of ideal alternative is given. Finally, all alternatives are ranked using the measure of similarity between vague sets. An example shows the effectiveness of the method.
出处
《电路与系统学报》
CSCD
北大核心
2008年第2期9-13,共5页
Journal of Circuits and Systems
基金
浙江省自然科学基金重点资助项目(Z104267)
浙江省教育厅资助项目(20041345)
浙江省高校青年教师资助计划项目
关键词
动态多目标决策
VAGUE集
支持(反对、中立)目标集
Vague集相似度
dynamic multi-objective decision-making
vague sets
sets of objective being in favor （against, neutral）
measure of similarity between vague sets
