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Communication Dans Un Congrès Année : 2015

A Linear-Complexity Rule Base Generation Method for Fuzzy Systems

Résumé

Rule base generation from numerical data has been a dynamic research topic within the fuzzy community in the last decades, and several well-established methods have been proposed. While some authors presented simple, empirical approaches, but which generally show high error rates, others turned to complex heuristic techniques to improve accuracy. In this paper, an extension of the classical Wang-Mendel method is proposed. While keeping a linear complexity, the new method achieves performances close to those of more complex methods based on cooperative rules (COR). Results on synthetic data show the potential of the proposed method as a complexity-accuracy trade-off.

Dates et versions

hal-01172144 , version 1 (08-07-2015)

Identifiants

Citer

Liviu-Cristian Duţu, Gilles Mauris, Philippe Bolon. A Linear-Complexity Rule Base Generation Method for Fuzzy Systems. IFSA-EUSFLAT 2015 - 16th World Congress of the International Fuzzy Systems Association (IFSA) - 9th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), Jul 2015, Gijon, Spain. pp. 520-527, ⟨10.2991/ifsa-eusflat-15.2015.75⟩. ⟨hal-01172144⟩
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