摘要
提出一种基于多Agent的决策支持系统,引进用于群个体评价的模糊C均值聚类方法和AHP用以进行最终决策。模糊C均值通过数据聚类分析,应用于确定专家组对两同类评估对象做出的优先级水平,得出表示多数意见的优胜组及具体质心值;AHP则综合了各准则下的专家意见。另外,多智能体系统模式具有获取分布式异步数据处理的能力,保证了决策支持系统的适用性。
A decision support system based on multi-agent is proposed, and fuzzy C-mean clustering employed to group individual evaluations and analytical hierarchy process are introduced to make the final decision. By clustering and analyzing the given data, fuzzy C-mean is used to establish priority levels of two congener objects by the expert team in order to get superior team expressing majority opinions and its specific centroid. AHP is expected to colligate opinions of experts under each criterion. Besides, the mode of multi-agent system offers capabilities for achieving distributed and asynchronous processing of data as to ensure the appli- cability of decision support system
出处
《计算机与现代化》
2013年第8期209-213,共5页
Computer and Modernization
关键词
智能决策支持系统
多智能体
模糊C均值
层次分析
intelligent decision support system
multi-agent
fuzzy C-mean（FCM）
analytical hierarchy process（AHP）
