Please use this identifier to cite or link to this item: https://doi.org/10.1109/FUZZY.2008.4630559
Title: Towards an efficient type-reduction method for interval type-2 fuzzy logic systems
Authors: Nie, M.
Tan, W.W. 
Issue Date: 2008
Citation: Nie, M.,Tan, W.W. (2008). Towards an efficient type-reduction method for interval type-2 fuzzy logic systems. IEEE International Conference on Fuzzy Systems : 1425-1432. ScholarBank@NUS Repository. https://doi.org/10.1109/FUZZY.2008.4630559
Abstract: This paper introduces an alternative type-reduction method for interval type-2 (IT2) fuzzy logic systems (FLSs), with either continuous or discrete secondary membership function. Unlike the Karnik-Mendel type reducer which is based on the wavy-slice representation of a type-2 fuzzy set, the proposed type reduction algorithm is developed using the vertical-slice representation. One advantage of the approach is the output of the type reducer can be expressed in closed form, thereby providing a tool for the theoretical analysis of IT2 FLSs. The computational complexity of the proposed method is also lower than the uncertainty bounds method and the enhanced Karnik-Mendel method. To assess the feasibility of the proposed typereducer, it is used to calculate the output of an IT2 fuzzy logic controller (FLCs). Results from a simulated coupled tank experiment demonstrated that IT2 FLCs that employ the proposed type reduction algorithm share similar robustness properties as FLCs based on the Karnik-Mendel type reducer. © 2008 IEEE.
Source Title: IEEE International Conference on Fuzzy Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/84313
ISBN: 9781424418190
ISSN: 10987584
DOI: 10.1109/FUZZY.2008.4630559
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