Publikace detail

Classification Model based on Rough and Fuzzy Sets Theory

Rok: 2007

Druh publikace: článek ve sborníku

Název zdroje: Proceedings of the 6th WSEAS International Conference CIMMACS 2007 and the 5th WSEAS International Conference EED 2007

Název nakladatele: WSEAS Press

Místo vydání: Greece

Strana od-do: 199-203

Tituly:

Jazyk	Název	Abstrakt	Klíčová slova
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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