Email this article Initialization method for fuzzy Takagi–Sugeno systems
- Authors: Hodashinsky I.A.1, Sarin K.S.1, Cherepanov S.A.1
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Affiliations:
- Tomsk State University of Control Systems and Radio Electronics
- Issue: Vol 52, No 3 (2016)
- Pages: 266-273
- Section: Automation Systems in Scientific Research and Industry
- URL: https://journals.rcsi.science/8756-6990/article/view/211959
- DOI: https://doi.org/10.3103/S8756699016030080
- ID: 211959
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Abstract
This paper presents a method for initializing Takagi–Sugeno fuzzy systems in which the initial values of fuzzy antecedents are obtained by dynamic decomposition of the input space while the consequent values are obtained by the recursive least squares method. The results of experiments on 13 datasets from the KEEL repository are described. The results of approximating these datasets by the proposed method are compared with those obtained by five well-known identification algorithms..
About the authors
I. A. Hodashinsky
Tomsk State University of Control Systems and Radio Electronics
Author for correspondence.
Email: hodashn@rambler.ru
Russian Federation, pr. Lenina 40, Tomsk, 634050
K. S. Sarin
Tomsk State University of Control Systems and Radio Electronics
Email: hodashn@rambler.ru
Russian Federation, pr. Lenina 40, Tomsk, 634050
S. A. Cherepanov
Tomsk State University of Control Systems and Radio Electronics
Email: hodashn@rambler.ru
Russian Federation, pr. Lenina 40, Tomsk, 634050
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