Optimization of Interval Type-2 Fuzzy Logic System Using Grasshopper Optimization Algorithm

Optimization of Interval Type-2 Fuzzy Logic System Using Grasshopper Optimization Algorithm

<p dir="ltr">The estimation of the fuzzy membership function parameters for interval type 2 fuzzy logic system (IT2-FLS) is a challenging task in the presence of uncertainty and imprecision. Grasshopper optimization algorithm (GOA) is a fresh population based meta-heuristic algorithm...

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Bibliographic Details
Main Author: Saima Hassan (14918003) (author)
Other Authors: Mojtaba Ahmadieh Khanesar (18418542) (author), Nazar Kalaf Hussein (18418545) (author), Samir Brahim Belhaouari (16855434) (author), Usman Amjad (18418548) (author), Wali Khan Mashwani (18418551) (author)
Published: 2022
Subjects:
Information and computing sciences
Artificial intelligence
Machine learning
Parameter optimization
grasshopper optimization algorithm
interval type-2 fuzzy logic system
extreme learning machine
electricity market forecasting
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