Publication detail

Classification Model based on Rough and Fuzzy Sets Theory

Year: 2007

Type of publication: článek ve sborníku

Name of source: Proceedings of the 6th WSEAS International Conference CIMMACS 2007 and the 5th WSEAS International Conference EED 2007

Publisher name: WSEAS Press

Place: Greece

Page from-to: 199-203

Titles:

Language	Name	Abstract	Keywords
cze	Model klaisfikace založený na teorii fuzzy a rough množin	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.	fuzzy množiny;rough množiny;klasifikace
eng	Classification Model based on Rough and Fuzzy Sets Theory	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.	Classification;rough sets theory;fuzzy sets theory;rules generation;hybrid model

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