Optimization of type-2 fuzzy systems based on bio-inspired methods: A concise review
Information Sciences: an International Journal
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intelligence methods have played important roles in many areas. After statistically optimizing interval-valued fuzzy membership functions in the type-2 Fuzzy Logic System (FLS), we continue to apply Genetic Algorithms (GA) to optimize them. The proposed method is used to predict survival times for patients in clinical trials. The results show that the new GA-based method is more accurate than traditional type-1 and type-2 methods. Index Terms: Interval-valued fuzzy logic, type-2 fuzzy logic, statistical interval-valued fuzzy reasoning, Genetic Algorithms, least-squares errors .