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基于凸Rough集的数据约简和规则发现研究
引用本文:李龙澍,程慧霞,卢冰原.基于凸Rough集的数据约简和规则发现研究[J].东南大学学报(自然科学版),2002,32(2):201-205.
作者姓名:李龙澍  程慧霞  卢冰原
作者单位:安徽大学计算智能与信号处理实验室,合肥,230039
基金项目:国家“8 63”资助项目 (863 -3 0 6-ZD0 5 -0 1-8),教育部骨干教师资助项目 (2 0 0 0 -65 )
摘    要:为了有效地从凸序列中约简数据和发现知识,解决Rough集集中的凸序列问题,在深入研究凸序列和Rough集理论的基础上,提出了凸Rough集模型,定义了凸Rough集和凸Rough集糊集,给出了凸Rough集糊集的隶属函数和应用凸Rough集进行数据约简及规则发现的算法,最后分析了一个应用案例,验证了模型的可行性,表明应用凸Rough集模型可以更好地进行数据约减和规则发现。

关 键 词:数据约简  规则发现  Rough集  凸Rough集  粗糙集  数据挖掘
文章编号:1001-0505(2002)02-0201-05

Study on data reduction and rules discovery based on convex Rough set
Li Longshu,Cheng Huixia,Lu Bingyuan.Study on data reduction and rules discovery based on convex Rough set[J].Journal of Southeast University(Natural Science Edition),2002,32(2):201-205.
Authors:Li Longshu  Cheng Huixia  Lu Bingyuan
Abstract:In order to reduce data, discover knowledge from convex serial, and to process convex serial in rough set, convex serial and rough set theory were studied thoroughly and a convex rough set model is presented. Convex rough set and convex rough fuzzy set are defined and the membership function of the convex rough fuzzy set is given. The algorithms of data reduction and rules discovery using convex rough set are also introduced. Finally, an application case is analyzed. The results show that the presented model can be applied conveniently to data reduction and rules discovery with computing better decision.
Keywords:data reduction  rules discovery  rough set  convex rough set
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