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- W2039652152 abstract "Interval type-2 fuzzy logic controllers have demonstrated better abilities to handle uncertainties than their type-1 counterparts in many applications; however, the high computational cost of the iterative Karnik-Mendel algorithms in type-reduction may hinder them from certain real-time applications. This paper provides an overview and comparison of 11 alternative type-reducers, which have closed-form representations and are more convenient in analysis. Experiments demonstrate that 10 of them are faster than the Karnik-Mendel algorithms. Among them, the Wu-Tan and Nie-Tan methods are the fastest, and they are only about 1.2-1.7 times slower than a type-1 fuzzy logic controller." @default.
- W2039652152 created "2016-06-24" @default.
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- W2039652152 date "2012-06-01" @default.
- W2039652152 modified "2023-10-16" @default.
- W2039652152 title "An overview of alternative type-reduction approaches for reducing the computational cost of interval type-2 fuzzy logic controllers" @default.
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- W2039652152 doi "https://doi.org/10.1109/fuzz-ieee.2012.6251242" @default.
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