FUZZY CLASSIFICATION OF SYMBOLIC OBJECTS

• Authors: Małgorzata Machowska-Szewczyk
• Languages of publication: EN

Abstracts

EN

The aim of this work is to present fuzzy clustering algorithm for objects, which can be described by mixed feature-type symbolic data and fuzzy data. The main idea is the transformation of mixed feature-type symbolic data and fuzzy data into histogram-valued symbolic data. Fuzzy classification is very useful in case, when classes are difficult separated, mixed objects can be classified into class with the fixed degree of membership.

Keywords

EN

fuzzy classification; symbolic data; histogram-valued symbolic data

• Publisher: Katedra Ekonometrii i Statystyki, Szkoła Główna Gospodarstwa Wiejskiego w Warszawie
• Journal: Metody Ilościowe w Badaniach Ekonomicznych
• Year: 2013
• Volume: 14
• Issue: 2
• Pages: 51-60

Dates

published

2013

Contributors

author

Małgorzata Machowska-Szewczyk

• Department of Artificial Intelligence Methods and Applied Mathematics West Pomeranian University of Technology in Szczecin

References

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• Diday E., Simon J.C. (1976) Clustering analysis. In: Fu, K.S. (Ed.), Digital Pattern Clasification. Springer, Berlin, 47–94.
• Zimmermann H.J. (1991) Fuzzy Set Theory and Its Applications, Kluwer, Dordrecht.