标题:One direction s-rough decision law inference and law mining
作者:Huang, Shun-Liang ;Shi, Kai-Quan
通讯作者:Huang, SL
作者机构:[Huang, Shun-Liang ] School of Management, Shandong University of Technology, Zibo 255049, China;[Shi, Kai-Quan ] School of Mathematics, Shandong Univ 更多
会议名称:2009 International Workshop on Intelligent Systems and Applications, ISA 2009
会议日期:23 May 2009 through 24 May 2009
来源:2009 International Workshop on Intelligent Systems and Applications, ISA 2009
出版年:2009
DOI:10.1109/IWISA.2009.5072985
关键词:Decision analysis; Law inference; Law mining; One direction S-rough sets; S-rough sets
摘要:S-rough sets (Singular rough sets) improves Z. Pawlak rough sets, and S-rough sets has dynamic characteristics. By employing one direction S-rough sets, a generation method of one direction S-rough decision law is presented. The concepts of upper-decision law, lower-decision law, one direction S-rough decision law, one direction S-rough decision law kernel, one direction S-rough decision law band and one direction S-rough decision law hull are proposed. The theorems about decision law inference and decision law mining are presented. The criterion of rough decision law mining is given. © 2009 IEEE.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-70349547115&doi=10.1109%2fIWISA.2009.5072985&partnerID=40&md5=2b334f02c151eb370d6d20467aaa2982
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