A new method for fuzzy rule base reduction

Article type: Research Article

Authors: Bellaaj, Hatem | Ketata, Rouf | Chtourou, Mohamed

Affiliations: Control and Energy Management Laboratory (CEMLab), National School of Engineers of Sfax, BP, Sfax, Tunisia

Note: [] Corresponding author. Hatem Bellaaj, Control and Energy Management Laboratory (CEMLab), National School of Engineers of Sfax, BP, 1173 Sfax, Tunisia. Tel.: +216 22 108 193; E-mail: [email protected]

Abstract: This paper presents a new approach for fuzzy rule base reduction using similarity concepts and interpolation techniques. The algorithm consists on: First, measure similarity between rules for the best choice of which of them will be deleted. This operation is done without modification of membership functions. Second, if a new input data is presented to the fuzzy system, interpolation techniques will be used to take into account this arriving data. The main idea of this work is to improve accuracy of the fuzzy system after reduction step. A comparative study between three interpolation methods is done. A mathematical case is treated to show the performance of the proposed method.

Keywords: Fuzzy system, fuzzy rule base reduction, similarity, interpolation

DOI: 10.3233/IFS-120667

Journal: Journal of Intelligent & Fuzzy Systems, vol. 25, no. 3, pp. 605-613, 2013