【摘要】 多个Agent同时形成任务求解联盟时,联盟效用的分配是一个棘手的问题。已有的平均分配和基于能力大小的分配策略都没有反映出Agent对联盟贡献的差异性,不利于联盟的形成和完成任务的绩效。提出了一种基于模糊评判的联盟效用分配方法。首先模糊评价Agent的各维能力贡献率,然后综合计算出整体贡献因子,并据此完成联盟效用的合理分配,最后通过实例分析说明了此方法的有效性。更多还原

【Abstract】 Coalition utility allocation is a hard question when many agents form a coalition to solve tasks.The current strategies,based on equality or capability vectors,do not demonstrate the difference of agents’ contribution to a coalition,and this will go against coalition formation.In this paper,a method is presented to allocate coalition utility based on fuzzy evaluation.First we evaluate contribution ratio in agent’s all-dimension capabilities,then get the contribution factor,by this means,we give a rational allocation of coalition utility.Moreover,a simulation example is presented to illustrate the validity of the proposed method.更多还原