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Study on Non-iterative Algorithms for Center-of-Sets Type-Reduction of Interval Type-2 Takagi–Sugeno–Kang Fuzzy Logic Systems

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Abstract

In the application of interval type-2 (IT2) Takagi–Sugeno–Kang (TSK) fuzzy logic systems (FLSs), the center-of-sets (COS) type-reduction (TR) is more advantageous than the centroid TR. This paper proposes three types of discrete non-iterative algorithms to solve the problem of COS TR in IT2 TSK FLSs. Multiple simulation experiments are carried out for the IT2 TSK FLSs with different fuzzy rule numbers. Experimental results show that the computational efficiencies of the three discrete non-iterative algorithms are better than that of Karnik–Mendel (KM) algorithms, which provides latent value for the application of type-2 FLSs.

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Acknowledgements

This paper is sponsored by the National Natural Science Foundation of China (61973146, 61773188), and 2024 Fundamental Research Project (No. LJ212410154062) of the Educational Department of Liaoning Province.

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Authors and Affiliations

  1. College of Science, Liaoning University of Technology, Jinzhou, 121001, China

    Junge Zhou & Yang Chen

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  1. Junge Zhou
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Zhou, J., Chen, Y. Study on Non-iterative Algorithms for Center-of-Sets Type-Reduction of Interval Type-2 Takagi–Sugeno–Kang Fuzzy Logic Systems. Int. J. Fuzzy Syst. 26, 2675–2687 (2024). https://doi.org/10.1007/s40815-024-01873-2

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