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优势关系下序信息系统的信息量与粗糙熵
引用本文:桂现才.优势关系下序信息系统的信息量与粗糙熵[J].计算机工程与设计,2008,29(24).
作者姓名:桂现才
作者单位:湛江师范学院数学与计算科学学院,广东湛江,524048
基金项目:湛江师范学院科研基金项目  
摘    要:在基于优势关系的序信息系统中引入了知识的信息量和知识粒度的概念,得到了它们的若干性质和定理.证明了在知识约筒过程中,信息量的变化趋势是递减的.考虑到导致粗集粗糙性的原因,将粗糙度和信息量结合起来,提出了一种新的粗集粗糙熵来刻画粗糙集的粗糙性,得到了粗糙集的粗糙熵随着序信息系统约简的变细而单调减少的结论,该结论为序信息系统的知识发现奠定了一定的理论基础.

关 键 词:粗糙集  序信息系统  优势关系  信息量  知识粒度  粗糙度  粗糙熵

Information quantity and rough entropy in ordered information systems based on dominance relations
GUI Xian-cai.Information quantity and rough entropy in ordered information systems based on dominance relations[J].Computer Engineering and Design,2008,29(24).
Authors:GUI Xian-cai
Affiliation:GUI Xian-cai(School of Mathematics , Computational Science,Zhanjiang Normal College,Zhanjiang 524048,China)
Abstract:By introducing the concept of information quantity and knowledge granularity to ordered information system based on dominance relations,several properties and theorems are gained.In the process of attribute reduction,we prove that the information quantity is monotone decreasing.Considering the causes of uncertainty in rough set,new rough entropy of rough set by combining rough degree with information quantity is presented.The conclusion that the rough entropy of rough set decreases monotonously as the gener...
Keywords:rough set  ordered information systems  dominance relations  information quantity  knowledge granularity  rough degree  rough entropy  
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