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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Cone Fuzzy Systems and Their Application to Modeling Nonlinear Systems

Cone Fuzzy Systems and Their Application to Modeling Nonlinear Systems

Jiang, Mingzuo

Paperback

General Mathematics

ISBN10: 6206775658
ISBN13: 9786206775652
Publisher: Scholars' Press
Published: Nov 5 2024
Pages: 224
Weight: 0.74
Height: 0.51 Width: 6.00 Depth: 9.00
Language: English
Fuzzy systems can effectively model complex nonlinear systems with uncertainties, fuzzy system can make full use of the experience knowledge of domain experts and make it easy to understand. Theoretically, the modeling precision of fuzzy model is related to the number of fuzzy rules. The more fuzzy rules, the higher the precision of the fuzzy model. However, in practice, when modeling fuzzy models for some nonlinear systems, the improvement of fuzzy model precision is limited by simply increasing the number of fuzzy rules, which, on the contrary, greatly increases the calculation amount of the entire modeling process, leading to redundancy of the fuzzy rules and overfitting of the models, so the balance and compromise between complexity and precision has become a hot issue in the research of fuzzy system identification. Therefore, how to design a simple and effective fuzzy system, improve its approximation performance and reduce its computational complexity become the main starting points of this paper.

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