A Feasible Genetic Optimization Strategy for Parametric Interval Type-2 Fuzzy Logic Systems
| Autor: | Esther Lugo-González, Raúl Cruz-Barbosa, Luis A. Villa-Vargas, Imre J. Rudas, Herón Molina-Lozano, Arturo Téllez-Velázquez, Ildar Z. Batyrshin |
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| Rok vydání: | 2017 |
| Předmět: |
Fitness function
020208 electrical & electronic engineering Nonparametric statistics 02 engineering and technology Fuzzy control system Interval (mathematics) Servomotor Theoretical Computer Science Computational Theory and Mathematics Artificial Intelligence Control theory Control system Genetic algorithm 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Software Mathematics Parametric statistics |
| Zdroj: | International Journal of Fuzzy Systems. 20:318-338 |
| ISSN: | 2199-3211 1562-2479 |
| DOI: | 10.1007/s40815-017-0307-0 |
| Popis: | This paper presents an optimization strategy for interval type-2 fuzzy systems by using the conjunction operation called the (p)-monotone sum of t-norms. A direct-current servomotor control system is implemented to test the performance of the type-1, interval type-2 and interval type-2 fuzzy systems with parametric operations, under several noisy conditions. To rate them, a multi-objective fitness function, based on the main transient parameters, is proposed to ensure the genetic algorithm to find the best squared feedback signal, when a white noise signal with different amplitudes is added to the reference. In addition, the optimization strategy includes the parametric conjunction suppression to analyze how a rule-associated parametric conjunction directly influences on system performance. Such rule suppression can be used to reduce the number of parametric conjunction operations required to obtain an additional performance improvement. Experimental results of the servomotor control system show that parametric conjunctions used in the interval type-2 fuzzy logic system provide additional advantages over its nonparametric counterpart. |
| Databáze: | OpenAIRE |
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