Optimal Selection of Membership Functions Types for Fuzzy Control and Decision Making Systems

This paper proposes the advanced approach for optimal selection of linguistic terms membership functions (LTMF) types for fuzzy control and decision making systems based on bioinspired optimization techniques. The developed approach allows to effectively optimize membership functions for improvement the fuzzy system (FS) performance as well as for simplification the further procedure of its parametric optimization of linguistic terms by reducing the number of optimized parameters. In order to study and validate the efficiency of the presented approach the optimization of the LTMF types for the fuzzy control system of the clamping device for a mobile robot (MR) of vertical movement is carried out in this work. The obtained simulation results confirm the high efficiency of the developed approach for optimal selection of LTMF types, as well as the expediency of its application for structural optimization of fuzzy systems and devices of various types, configurations and purposes.