Rough-Fuzzy classifier modeling using data repository sets
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F14%3A39898896" target="_blank" >RIV/00216275:25410/14:39898896 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.procs.2014.08.152" target="_blank" >http://dx.doi.org/10.1016/j.procs.2014.08.152</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.procs.2014.08.152" target="_blank" >10.1016/j.procs.2014.08.152</a>
Alternative languages
Result language
angličtina
Original language name
Rough-Fuzzy classifier modeling using data repository sets
Original language 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 func
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Procedia Computer Science: Knowledge-Based and Intelligent Information & Engineering Systems 18th Annual Conference (KES-2014)
ISBN
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ISSN
1877-0509
e-ISSN
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Number of pages
9
Pages from-to
701-709
Publisher name
Elsevier Science BV
Place of publication
Amsterdam
Event location
Gdynia
Event date
Sep 15, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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