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• W2153744349 abstract "A type-2 fuzzy set is characterized by a concept called footprint of uncertainty (FOU). It provides the extra mathematical dimension that equips type-2 fuzzy logic systems (FLSs) with the potential to outperform their type-1 counterparts. While a type-2 FLS has the capability to model more complex relationships, the output of a type-2 fuzzy inference engine needs to be type-reduced. As type-reduction is very computationally intensive, type-2 FLSs may not be suitable for certain real-time applications. This paper aims at developing more computationally efficient type-reducers. The proposed type-reducer is based on the concept known as equivalent type-1 sets (ET1Ss), a collection of type-1 sets that replicates the input-output map of a type-2 FLS. Simulations are presented to demonstrate that the proposed type-reducing algorithms have lower computational cost and better performances than the Karnik-Mendel type-reducer" @default.
• W2153744349 created "2016-06-24" @default.
• W2153744349 creator A5041493924 @default.
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• W2153744349 date "2005-07-28" @default.
• W2153744349 modified "2023-09-30" @default.
• W2153744349 title "Computationally Efficient Type-Reduction Strategies for a Type-2 Fuzzy Logic Controller" @default.
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• W2153744349 doi "https://doi.org/10.1109/fuzzy.2005.1452419" @default.
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