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基于粗隶属函数的粗糙集模型的推广
引用本文:李秀红.基于粗隶属函数的粗糙集模型的推广[J].计算机工程与应用,2005,41(34):42-45.
作者姓名:李秀红
作者单位:山东大学数学与系统科学学院,济南,250100;山东经济学院基础课部,济南,250014
摘    要:通过粗隶属函数,将粗糙集理论与模糊集理论联系起来,建立一种粗糙集理论与模糊集理论间的关系。把粗隶属函数视为论域上的一个特殊模糊集,用它的!-截集和强"-截集的概念,将经典粗糙集模型进行推广,提出基于等价关系的隶属度粗糙集模型,验证一些有用的性质,并证明该模型比Pawlak粗糙集模型具有更好的精度。最后将基于等价关系的隶属度粗糙集模型拓展到基于一般二元关系的广义隶属度粗糙集模型,并给出其相应的性质。

关 键 词:粗糙集  粗隶属函数  模糊集  截集  隶属度粗糙集
文章编号:1002-8331-(2005)34-0042-04
收稿时间:2005-07
修稿时间:2005-07

Generalization of Rough Set Model Based on Rough Membership Function
Li Xiuhong.Generalization of Rough Set Model Based on Rough Membership Function[J].Computer Engineering and Applications,2005,41(34):42-45.
Authors:Li Xiuhong
Affiliation:School of Mathematics and System Science,Shandong University,Jinan 250100;Department of Basic Course,Shandong Institute of Economics,Jinan 250014
Abstract:We combine the fuzzy set theory with rough set theory by rough membership function and establish a relation between them.We regard rough membership function as a special fuzzy set of the universe,and the classical rough set model is generalized by using the concepts of its -cut and strong-cut.Meanwhile,membership degree rough set model based on equivalence relation is proposed.We prove some useful properties and also testify that this model has higher precision than Pawlak rough set model.Finally,membership degree rough set model based on equivalence relation is extended to generalized membership degree rough set model based on general binary relation,and the relevant properties are also given.
Keywords:rough set  rough membership function  fuzzy set  cut set  membership degree rough set
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