Fuzzy One-Class Classification Model Using Contamination Neighborhoods
Author
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-09-24
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Utkin, Lev V.. 2012. Fuzzy One-Class Classification Model Using Contamination Neighborhoods. Advances in Fuzzy Systems،Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-513585
Modern Language Association (MLA)
Utkin, Lev V.. Fuzzy One-Class Classification Model Using Contamination Neighborhoods. Advances in Fuzzy Systems No. 2012 (2012), pp.1-10.
https://search.emarefa.net/detail/BIM-513585
American Medical Association (AMA)
Utkin, Lev V.. Fuzzy One-Class Classification Model Using Contamination Neighborhoods. Advances in Fuzzy Systems. 2012. Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-513585
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-513585