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粗糙认知图RCM模型研究
引用本文:张春英,刘璐,欧阳东.粗糙认知图RCM模型研究[J].河北理工学院学报,2012(1):42-46.
作者姓名:张春英  刘璐  欧阳东
作者单位:[1]河北联合大学理学院,河北唐山063009 [2]河北联合大学轻工学院,河北唐山063009
基金项目:河北省教育厅资助项目(z2009120)河北理工大学自然科学基金项目(20810)
摘    要:在继承模糊认知图模型优点的前提下,考虑到认知图和模糊认知图不能表示概念间关系的多样性及关系测度对概念状态值的动态依赖关系,也不能表示概念间因果关系测度的不确定性,将粗糙集的思想融入到认知图中,提出粗糙认知图模型,从而将概念间关系的多样性、时空特性有效的融入认知图中,并抽象出两概念间的一个综合关系,赋予权值,以完成因果关系推理,扩展了FCM的应用领域及模拟概念间关系的能力。较大限度地减少了认知图对现实世界模拟的失真。

关 键 词:认知图  粗糙集  粗糙认知图

Research on Rough Cognitive Map Model
Institution:ZHANG Chun-ying ,LIU Lu, OUYNAG-dong ( 1. College of Science, Hebei United University, Tangshan Hebei 063009, China; 2. College of Iight industry Hebei United University,Tangshan Hebei 063009 ,China)
Abstract:Under the circumstance of inheriting the advantages of fuzzy cognitive map, considering that cognitive map (CM) and fuzzy cognitive map (FCM) fails to represent the diversity of the relations of concepts, the dynamic dependency between the relation measures and the state value of concepts, and the measures of uncertain causal rela-tionships ,the paper introduced the rough set to solve those problems, and rough cognitive map (RCM) is presented. RCM abstracts a comprehensive relationship between two concepts and gives a comprehensive weight to complete causal reasoning. So the simulating capability of FCM is extended. Finally, RCM is more flexible and robust than FCM, it can simulate the real world better.
Keywords:cognitive map  rough set  rough cognitive map
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