On accommodating the semantic-based interpretability in evolutionary linguistic fuzzy controller

Article type: Research Article

Authors: Megherbi, Hassina^{a; *} | Megherbi, Ahmed Chaouki^b | Benmahammed, Khier^c

Affiliations: [a] Electrical Engineering Department, Mohamed Khider University, Biskra, Algeria | [b] Identification, Command, Control and Communication Laboratory, Mohamed Khider University, Biskra, Algeria | [c] Intelligent Systems Laboratory, Ferhat Abbes University, Setif, Algeria

Correspondence: [*] Corresponding author. Hassina Megherbi, Electrical Engineering Department, Mohamed Khider University, Biskra, ALGERIA. E-mail: h.megherbi@univ-biskra.dz.

Abstract: In this paper, we propose the accommodation of the semantic-based interpretability in evolutionary linguistic fuzzy controller through an overlap-based encoding strategy for the triangular membership function (MF) parameters. With this strategy, the coverage and the distinguishability aspect of the fuzzy partitions are guaranteed during the evolution. The idea behind this proposal is that the set of the membership functions forming the fuzzy partition are defined as overlapped functions instead of separate functions subjected to some constraints as the most previous works do. To test the design technique, simulations were performed to optimize direct-drive DC motor fuzzy controller. Simulation results show that fuzzy partition interpretability is guaranteed and the evolved FLC exhibits high performances in slow and fast tracking, as compared with the conventional PD controller.

Keywords: Evolutionary linguistic fuzzy controller, accuracy and interpretability trade-off, semantic-based interpretability, membership function parameter representation, coverage/distinguishability of the fuzzy partitions, overlap-based representation, direct-drive DC motor

DOI: 10.3233/JIFS-18637

Journal: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 4, pp. 3765-3778, 2019