Cengiz M.Deniz F.N.Ozguven O.2024-08-042024-08-0420239798350383065https://doi.org/10.1109/ISAS60782.2023.10391480https://hdl.handle.net/11616/922487th International Symposium on Innovative Approaches in Smart Technologies, ISAS 2023 -- 23 November 2023 through 25 November 2023 -- 196776In this study, the effect of the Fractional Fuzzy Inference System (FFIS) on the performance of the fuzzy logic-based control system was examined, with comparisons made to both a typical fuzzy controller and a PID controller. Additionally, a Genetic Algorithm (GA) was utilized to fine-tune the universe of input and output variables for the Fuzzy Logic Controller (FLC) built with FFIS. A high-order system, in which control with classical methods is considered difficult, was chosen to be employed for the performance evaluation. As a result, it has been observed that the use of FFIS in controlling the high-order system leads to a more satisfactory control performance. This study demonstrates that FFIS has the capacity to enhance performance in fuzzy logic-based control systems and can serve as a more effective control strategy. © 2023 IEEE.eninfo:eu-repo/semantics/closedAccessfractional fuzzy inference systemfuzzy logic controllergenetic algorithmConference Object10.1109/ISAS60782.2023.103914802-s2.0-85184824664N/A