This paper focuses of the development and study of the advanced approach for structural optimization of fuzzy control and decision making systems based on determination of linguistic terms (LTs) optimal number. The application of the proposed approach makes it possible to increase the fuzzy system (FS) performance and accuracy, to reduce the computational costs spent on the rule base (RB) composing and parameters optimization, as well as to simplify its further hardware and software

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... on. The developed approach is tested in this paper at design and structural optimization of the fuzzy cruise control system for the electric vehicle. The obtained results of the conducted research confirm the high efficiency and feasibility of using the developed approach for synthesis and optimization of various fuzzy control and decision-making systems.