A Linear-Complexity Rule Base Generation Method for Fuzzy Systems
| Autor: | Liviu-Cristian Dutu, Gilles Mauris, Philippe Bolon |
|---|---|
| Přispěvatelé: | Laboratoire d'Informatique, Systèmes, Traitement de l'Information et de la Connaissance (LISTIC), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]) |
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
0209 industrial biotechnology
Computer science Heuristic 02 engineering and technology Fuzzy control system Extension (predicate logic) Base (topology) computer.software_genre Fuzzy logic Synthetic data complexity-accuracy trade-off inductive rule learning [SPI]Engineering Sciences [physics] 020901 industrial engineering & automation Simple (abstract algebra) double-consequent linguistic rules predictability 0202 electrical engineering electronic engineering information engineering Fuzzy number 020201 artificial intelligence & image processing [INFO]Computer Science [cs] Data mining Algorithm computer fuzzy rule-based model |
| Zdroj: | 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) 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⟩ IFSA-EUSFLAT |
| DOI: | 10.2991/ifsa-eusflat-15.2015.75⟩ |
| Popis: | International audience; 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. |
| Databáze: | OpenAIRE |
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