Fuzzy One-Class Classification Model Using Contamination Neighborhoods

Autor:	Lev V. Utkin
Jazyk:	angličtina
Rok vydání:	2012
Předmět:	Electrical engineering. Electronics. Nuclear engineering TK1-9971 Computer software QA76.75-76.765
Zdroj:	Advances in Fuzzy Systems, Vol 2012 (2012)
Druh dokumentu:	article
ISSN:	1687-7101 1687-711X
DOI:	10.1155/2012/984325
Popis:	A fuzzy classification model is studied in the paper. It is based on the contaminated (robust) model which produces fuzzy expected risk measures characterizing classification errors. Optimal classification parameters of the models are derived by minimizing the fuzzy expected risk. It is shown that an algorithm for computing the classification parameters is reduced to a set of standard support vector machine tasks with weighted data points. Experimental results with synthetic data illustrate the proposed fuzzy model.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/02ad9b700d92482395591ffde9d6688f Zobrazit plný text záznamu Plný text View record in DOAJ