About: Rough-Fuzzy classifier modeling using data repository sets

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	This paper reflects the trends of the past years based on the diffusion of various traditional approaches and methods when tackling new problems. Two components of the computational intelligence (CI) are applied, rough and fuzzy sets theory. These components permit one to operate with uncertainty data. The current knowledge in the investigated field is summarized and briefly explained. It also deals with uncertainty in an information system and the two approaches, the fuzzy sets (FSs) and rough sets theory (RST), for operating it. The proposal and implementation of a rough-fuzzy classifier (RFC) is modified. RFC uses the rules generated by RSTbox. The databases IRIS and WINE were chosen for verification. The classification results were compared with the results of other classification methods are applied on these databases. Finally, we summarized the presented problems. Based on the above stated facts it can be claimed that the proposed modified algorithm, RSTbox and RFC model are functional. The model is relatively successful (compared to other approaches), and by using it two classification databases can be carried out. This model is proposed in MATLAB. (C) 2014 Published by Elsevier B.V. This paper reflects the trends of the past years based on the diffusion of various traditional approaches and methods when tackling new problems. Two components of the computational intelligence (CI) are applied, rough and fuzzy sets theory. These components permit one to operate with uncertainty data. The current knowledge in the investigated field is summarized and briefly explained. It also deals with uncertainty in an information system and the two approaches, the fuzzy sets (FSs) and rough sets theory (RST), for operating it. The proposal and implementation of a rough-fuzzy classifier (RFC) is modified. RFC uses the rules generated by RSTbox. The databases IRIS and WINE were chosen for verification. The classification results were compared with the results of other classification methods are applied on these databases. Finally, we summarized the presented problems. Based on the above stated facts it can be claimed that the proposed modified algorithm, RSTbox and RFC model are functional. The model is relatively successful (compared to other approaches), and by using it two classification databases can be carried out. This model is proposed in MATLAB. (C) 2014 Published by Elsevier B.V. (en)
Title	Rough-Fuzzy classifier modeling using data repository sets Rough-Fuzzy classifier modeling using data repository sets (en)
skos:prefLabel	Rough-Fuzzy classifier modeling using data repository sets Rough-Fuzzy classifier modeling using data repository sets (en)
skos:notation	RIV/00216275:25410/14:39898896!RIV15-MSM-25410___
http://linked.open...avai/riv/aktivita	I
http://linked.open...avai/riv/aktivity	I
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Jirava, Pavel Křupka, Jiří
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Pardubice / Fakulta ekonomicko-správní
http://linked.open...dnocenehoVysledku	43327
http://linked.open...ai/riv/idVysledku	RIV/00216275:25410/14:39898896
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	UCI data repository; rules generation; rough-fuzzy approach; fuzzy inference system; Classification (en)
http://linked.open.../riv/klicoveSlovo	fuzzy inference system UCI data repository rough-fuzzy approach rules generation Classification
http://linked.open...ontrolniKodProRIV	[5870259B43C5]
http://linked.open...v/mistoKonaniAkce	Gdynia
http://linked.open...i/riv/mistoVydani	Amsterdam
http://linked.open...i/riv/nazevZdroje	Procedia Computer Science: Knowledge-Based and Intelligent Information & Engineering Systems 18th Annual Conference (KES-2014)
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Jirava, Pavel Křupka, Jiří
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-09-15 (xsd:date)
issn	1877-0509
number of pages	9 (xsd:int)
http://bibframe.org/vocab/doi	10.1016/j.procs.2014.08.152
http://purl.org/ne...btex#hasPublisher	Elsevier Science
http://localhost/t...ganizacniJednotka	25410

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