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Content Provider | IEEE Xplore Digital Library |
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Author | Dongrui Wu Woei Wan Tan |
Copyright Year | 2005 |
Description | Author affiliation: Dept. of Electr. & Comput. Eng., Singapore Nat. Univ. (Dongrui Wu; Woei Wan Tan) |
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 |
Sponsorship | IEEE IEEE Neural Networks Soc |
Starting Page | 353 |
Ending Page | 358 |
File Size | 2023575 |
Page Count | 6 |
File Format | |
ISBN | 0780391594 |
DOI | 10.1109/FUZZY.2005.1452419 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2005-05-25 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Fuzzy logic Fuzzy sets Uncertainty Engines Computational modeling Fuzzy control Computational efficiency Shape Inference algorithms Embedded computing |
Content Type | Text |
Resource Type | Article |
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