Classification Model based on Rough and Fuzzy Sets Theory

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F07%3A00005402" target="_blank" >RIV/00216275:25410/07:00005402 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Classification Model based on Rough and Fuzzy Sets Theory
Original language description
The paper reflects the trend of the past years which is based on the diffusion of various traditional approaches and methods to the way of tackling new problems. Two components of the computational intelligence are applied in a classification model. It means rough and fuzzy sets on the basis of which the data classification hybrid model is proposed. It even allows operating with uncertainty data. This model is carried out in MATLAB, and tested on more data files, and compared to others, already known classification methods.
Czech name
Model klaisfikace založený na teorii fuzzy a rough množin
Czech description
V příspěvku jsou aplikovány dvě součásti výpočetní inteligennce - fuzzy množiny a rough množiny v modelu klasifikace dat. Hybridní model byl testován v Matlabu na různých testovacích datech.

Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 6th WSEAS International Conference CIMMACS 2007 and the 5th WSEAS International Conference EED 2007
ISBN
978-960-6766-21-3
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
199-203
Publisher name
WSEAS Press
Place of publication
Greece
Event location
Puerto De La Cruz, Tenerife, Spain
Event date
Dec 16, 2007
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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