A Novel Method for Elimination of Inconsistencies in Ordinal Classification with Monotonicity Constraints

doi:10.3233/FI-2013-887

	A Novel Method for Elimination of Inconsistencies in Ordinal Classification with Monotonicity Constraints
	Deng, Weibin 1; Hu, Feng 1; Wang, Guoyin 2,4; Blaszczynski, Jerzy ; Slowinski, Roman 5; Szelag, Marcin
刊名	FUNDAMENTA INFORMATICAE
	2013
卷号	126 期号:4 页码:377-395
关键词	Dominance-based Rough Set Approach inconsistency inconsistency measure ordinal classification with monotonicity constraints decision rules
ISSN号	0169-2968
DOI	10.3233/FI-2013-887
英文摘要	In order to handle inconsistencies in ordinal and monotonic information systems, several relaxed versions of the Dominance-based Rough Set Approach (DRSA) have been proposed, e.g., VC-DRSA. These versions use special consistency measures to admit some inconsistent objects in the lower approximations. The minimal consistency level that has to be attained by objects included in the lower approximations is defined using a prior knowledge or a trial-and-error procedure. In order to avoid dependence on prior knowledge, an alternative way of handling inconsistencies is to iteratively eliminate the most inconsistent objects (according to some measure) until the information system becomes consistent. This idea is a base of a new method of handling inconsistencies presented in this paper and called TIPStoC. The TIPStoC algorithm is illustrated by an example from the area of telecommunication and the efficiency of the new method is proved by a computational experiment.
WOS研究方向	Computer Science ; Mathematics
语种	英语
出版者	IOS PRESS
WOS记录号	WOS:000324969000006
内容类型	期刊论文
源URL	[http://119.78.100.138/handle/2HOD01W0/320]
专题	中国科学院重庆绿色智能技术研究院
通讯作者	Wang, Guoyin
作者单位	1.Southwest Jiaotong Univ, Sch Informat Sci & Technol, Chengdu 610031, Peoples R China 2.Chinese Acad Sci, Chongqing Inst Green & Intel Tech, Inst Elect Inform Tech, Chongqing 401122, Peoples R China 3.Poznan Univ Tech, Inst Comp Sci, PL-60965 Poznan, Poland 4.Chongqing Univ Posts & Telecomm, Chongqing Key Lab Comp Intel, Chongqing 400065, Peoples R China 5.Polish Acad Sci, Syst Res Inst, PL-01447 Warsaw, Poland
推荐引用方式 GB/T 7714	Deng, Weibin,Hu, Feng,Wang, Guoyin,et al. A Novel Method for Elimination of Inconsistencies in Ordinal Classification with Monotonicity Constraints[J]. FUNDAMENTA INFORMATICAE,2013,126(4):377-395.
APA	Deng, Weibin,Hu, Feng,Wang, Guoyin,Blaszczynski, Jerzy,Slowinski, Roman,&Szelag, Marcin.(2013).A Novel Method for Elimination of Inconsistencies in Ordinal Classification with Monotonicity Constraints.FUNDAMENTA INFORMATICAE,126(4),377-395.
MLA	Deng, Weibin,et al."A Novel Method for Elimination of Inconsistencies in Ordinal Classification with Monotonicity Constraints".FUNDAMENTA INFORMATICAE 126.4(2013):377-395.