摘要
针对多Agent系统中影响联盟功效的因素存在较强的模糊性和不确定性的问题,将定性定量转换模型—–云模型引入Agent联盟评价中,提出一种新的基于云模型的联盟评价方法.与已有方法相比,该方法简单有效,易于工程实现,可较好地处理评价指标的模糊性和不确定性,从而为复杂控制系统中的最佳联盟选择提供更科学、更合理的决策.
To solve the problem that the factors, which affect the coalition efficiency in multi-agent systems（MAS）, have strong ambiguity and uncertainty, a novel method for the evaluation of agent coalition is proposed based on the cloud model which is introduced as a transforming model between qualitative and quantitative. Contrast to the existing works, the proposed method is more simple and effective, and easy to work in projects, which can deal with the ambiguity and uncertainty in evaluation indicators, thus can provide more scientific and reasonable decision for choosing the best coalition in some complex control systems.
出处
《控制与决策》
EI
CSCD
北大核心
2013年第1期152-156,共5页
Control and Decision
基金
国家自然科学基金项目(61004103
61174170
61100127)
国家教育部博士点基金项目(20100111110005)
安徽省自然科学基金项目(090412058
11040606Q44)
中国博士后科学基金项目(20090460742)
关键词
复杂控制与决策
多AGENT系统
联盟评价
云模型
complex control and decision making
multi-agent systems： evaluation of agent coalition： cloud model
