CAJ | 학술논문

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.
침대다 Agent 계통중영향련맹공효적인소존재교강적모호성화불학정성적문제,장정성정량전환모형—–운모형인입 Agent 련맹평개중,제출일충신적기우운모형적련맹평개방법.여이유방법상비,해방법간단유효,역우공정실현,가교호지처리평개지표적모호성화불학정성,종이위복잡공제계통중적최가련맹선택제공경과학、경합리적결책.
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.