基于信息公理与粗集理论的多属性模糊优选研究  

Research on Multi-Attribute Fuzzy Optimal Selection Based on Information Axiom and Rough Set

作　　者：童一飞[1] 李东波[1] 于敏建[1] 贡智兵[1] 

机构地区：[1]南京理工大学,南京210094

出　　处：《中国机械工程》2007年第17期2029-2033,共5页China Mechanical Engineering

基　　金：国防科技重点实验室基金资助项目(51458100205BQ0203)

摘　　要：分析了传统多属性优选方法的不足,利用公理设计论中的信息公理将模糊数学与香农信息论相结合,对网格资源进行定量评价,以选出最佳资源。同时引入粗集理论中的依赖度确定各属性指标的权重。最后以实例阐述了信息公理与粗集理论在实际应用时的信息处理与优选过程,验证了该方法的有效性。Based on the analyses of traditional multi-attribute optimal selection approaches, this paper combined the theory of fuzzy mathematics with the information theory of Shannon. Grid re sources were evaluated in quantity and the optimal resource was chosen. At the same time, the weight of each attribute was determined by the dependency degree of rough set applied into optimal selection. Finaliy, an example was given to illustrate the information processing, optimal selection procedure and the availability of the approach.

关 键 词：信息公理 模糊公理设计 粗集理论 多属性优选 

分 类 号：TH132[机械工程—机械制造及自动化]