A Novel Method for Elimination of Inconsistencies in Ordinal Classification with Monotonicity Constraints
文献类型:期刊论文
作者 | Deng, Weibin1; Hu, Feng1; Wang, Guoyin2,4; Blaszczynski, Jerzy; Slowinski, Roman5; Szelag, Marcin |
刊名 | FUNDAMENTA INFORMATICAE
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出版日期 | 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 |
WOS记录号 | WOS:000324969000006 |
出版者 | IOS PRESS |
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. |
入库方式: OAI收割
来源:重庆绿色智能技术研究院
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