摘要
提出一种新的联盟形成机制,以模糊数学为理论基础,着重研究个体间"满意度"和任务间"相似性"对联盟形成的影响,并将其表示为直觉模糊关系,通过模糊关系合成运算,得到新任务条件下agent间的"满意度".在此基础上,按不同阶段在不同范围内进行协商,从而有效降低了联盟形成的复杂性,并对其基本性质进行了分析.仿真实验表明了该机制的有效性.
A novel coalition formation mechanism is proposed based on fuzzy set theory, which focus on the effect of ＂satisfaction degree＂ among agents and ＂comparability＂ among tasks on coalition formation, and denot＇es them as intuitionistic fuzzy relations. By the compositional operation of intuitionistic fuzzy relations, ＂satisfaction degree＂ among agents under a new task can be attained. Then negotiation is carried out in different domains so that the complexity of forming a coalition is highly reduced, and an analysis of the characteristic of this mechanism is given. Finally, the simulation results show the effectiveness of the mechanism.
出处
《控制与决策》
EI
CSCD
北大核心
2008年第7期799-802,807,共5页
Control and Decision
基金
国家自然科学基金项目(60474035)
教育部博士点基金项目(2006035904)
安徽省自然科学基金项目(070412035)
