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Cited by 1,643

The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

Type-2 fuzzy logic systems

Karnik, N.N., Mendel, J.M., Qilian Liang·1999·IEEE Transactions on Fuzzy Systems

Abstract

We introduce a type-2 fuzzy logic system (FLS), which can handle rule uncertainties. The implementation of this type-2 FLS involves the operations of fuzzification, inference, and output processing. We focus on "output processing," which consists of type reduction and defuzzification. Type-reduction methods are extended versions of type-1 defuzzification methods. Type reduction captures more information about rule uncertainties than does the defuzzified value (a crisp number), however, it is computationally intensive, except for interval type-2 fuzzy sets for which we provide a simple type-reduction computation procedure. We also apply a type-2 FLS to time-varying channel equalization and demonstrate that it provides better performance than a type-1 FLS and nearest neighbor classifier.

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Metadata

Authors
Karnik, N. N., Mendel, J. M., & Liang, Q.
Venue
IEEE Transactions on Fuzzy Systems
Published
1999
Volume
7
Issue
6
Pages
643-658
ISSN
1063-6706 (ISSN-L)
OpenAlex
W2105234323
Cited by
1,643
References
27
FWCI
12.21
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Type-2 fuzzy logic systems. https://app.cochat.ai/papers/10.1109/91.811231
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Karnik, N. N., Mendel, J. M., & Liang, Q. (1999). Type-2 fuzzy logic systems. IEEE Transactions on Fuzzy Systems. https://doi.org/10.1109/91.811231

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