Prototype-based threshold rules

Authors:
Marcin Blachnik;Włodzisław Duch
Affiliations:
Division of Computer Methods, Department of Electrotechnology and Metallurgy, The Silesian University of Technology, Krasińskiego 8, Katowice, Poland;Department of Informatics, Nicolaus Copernicus University, Grudziądzka 5, Toruń, Poland and School of Computer Engineering, Nanyang Technological University, Singapore
Venue:
ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III
Year:
2006

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Abstract

Understanding data is usually done extracting fuzzy or crisp logical rules using neurofuzzy systems, decision trees and other approaches. Prototype-based rules are an interesting alternative providing in many cases simpler, more accurate and more comprehensible description of the data. Algorithm for generation of threshold prototype-based rules are described and a comparison with neurofuzzy systems on a number of datasets provided. Results show that systems for data understanding generating prototypes deserve at least the same attention as that enjoyed by the neurofuzzy systems.