Optimization of Interval Type-2 Fuzzy Logic System By using A New Hybrid Method of Whale Optimization algorithm and Extreme Learning Machine

The problem of searching for the best values ​​of fuzzy logic parameters (T1FLS) is consider complex problems, and type-2 system (T2FLS) more complex, in special case interval (IT2FLS). Researchers have used many methods algorithms to solve this problem, among most important field are the)Meta-heuristic) algorithms. Because Meta-heuristic a high capacity practical field, so we one modern which Whale Optimization algorithm (WOA). We (WOA) together with Extreme Learning Machine (ELM) as hybrid find ​​for IT2FLS. Whereas, was estimate antecedent system, consequent parts system. simulation results show that proposed effective