A multi-objective evolutionary algorithm for tuning type-2 fuzzy sets with rule and condition selection on fuzzy rule-based classification system

Edward Hinojosa Cárdenas, Heloisa A. Camargo

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

3 Citas (Scopus)

Resumen

This paper presents a Multi-Objective Evolutionary Algorithm (MOEA) for tuning type-2 fuzzy sets and selecting rules and conditions on Fuzzy Rule-Based Classification Systems (FRBCS). Before the tuning and selection process, the Rule Base is learned by means of a modified Wang-Mendel algorithm that considers type-2 fuzzy sets in the rules antecedents and in the inference mechanism. The Multi-Objective Evolutionary Algorithm used in the tuning process has three objectives. The first objective reflects the accuracy where the correct classification rate of the FRBCS is optimized. The second objective reflects the interpretability of the system regarding complexity, by means of the quantity of rules and is to be minimized through selecting rules from the initial rule base. The third objective also reflects the interpretability as a matter of complexity and models the quantity of conditions in the Rule Base. Finally, we show how the FRBCS tuned by our proposed algorithm can achieve a considerably better classification accuracy and complexity, expressed by the quantity of fuzzy rules and conditions in the RB compared with the FRBCS before the tuning process.

Idioma originalInglés
Título de la publicación alojadaAdvances in Fuzzy Logic and Technology 2017 - Proceedings of
Subtítulo de la publicación alojadaEUSFLAT-2017 – The 10th Conference of the European Society for Fuzzy Logic and Technology, IWIFSGN’2017 – The 16th International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets
EditoresJanusz Kacprzyk, Eulalia Szmidt, Slawomir Zadrozny, Maciej Krawczak, Maciej Krawczak, Krassimir T. Atanassov
EditorialSpringer Verlag
Páginas389-399
Número de páginas11
ISBN (versión impresa)9783319668291
DOI
EstadoPublicada - 2018
Evento10th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2017 and 16th International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, IWIFSGN 2017 - Warsaw, Polonia
Duración: 11 set. 201715 set. 2017

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
Volumen641
ISSN (versión impresa)2194-5357

Conferencia

Conferencia10th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2017 and 16th International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, IWIFSGN 2017
País/TerritorioPolonia
CiudadWarsaw
Período11/09/1715/09/17

Nota bibliográfica

Publisher Copyright:
© 2018, Springer International Publishing AG.

Huella

Profundice en los temas de investigación de 'A multi-objective evolutionary algorithm for tuning type-2 fuzzy sets with rule and condition selection on fuzzy rule-based classification system'. En conjunto forman una huella única.

Citar esto