Prototype-based threshold rules.

Marcin Blachnik1 , Wlodzislaw Duch2,3
1Division of Computer Methods, Department of Electrotechnology, The Silesian University of Technology, Katowice, Poland.
2School of Computer Engineering, Nanyang Technological University, Singapore.
3Department of Informatics, Nicolaus Copernicus University, Grudziadzka 5, 87-100 Torun, Poland.


Understanding data is usually done extracting fuzzy or crisp logical rules using neurofuzzy systems, decision trees and other approaches. Prototypebased 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.

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Reference: Blachnik M, Duch W, Prototype-based threshold rules. Lecture Notes in Computer Science, Vol. 4234, 1028-1037, 2006.

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