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• W2099556912 abstract "This paper proposes an optimization method for designing type-2 fuzzy inference systems based on the footprint of uncertainty (FOU) of the membership functions, considering three different cases to reduce the complexity problem of searching the parameter space of solutions. For the optimization method, we propose the use of a genetic algorithm (GA) to optimize the type-2 fuzzy inference systems, considering different cases for changing the level of uncertainty of the membership functions to reach the optimal solution at the end." @default.
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• W2099556912 date "2012-03-01" @default.
• W2099556912 modified "2023-10-16" @default.
• W2099556912 title "An optimization method for designing type-2 fuzzy inference systems based on the footprint of uncertainty using genetic algorithms" @default.
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• W2099556912 doi "https://doi.org/10.1016/j.eswa.2011.10.003" @default.
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