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|Title:||Computationally efficient type-reduction strategies for a type-2 fuzzy logic controller|
|Citation:||Wu, D.,Tan, W.W. (2005). Computationally efficient type-reduction strategies for a type-2 fuzzy logic controller. IEEE International Conference on Fuzzy Systems : 353-358. ScholarBank@NUS Repository.|
|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 (ETISs), 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 typereducing algorithms have lower computational cost and better performances than the Karnik-Mendel type-reducer. © 2005 IEEE.|
|Source Title:||IEEE International Conference on Fuzzy Systems|
|Appears in Collections:||Staff Publications|
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