A Study of TSK Inference Approaches for Control Problems-Reference-Cited by-同舟云学术

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A Study of TSK Inference Approaches for Control Problems

Published:2019 Issue: Volume: Page:195-207
ISSN:0302-9743
Container-title:Intelligent Robotics and Applications
language:
Short-container-title:

Author:

Li Jie,Chao Fei,Yang Longzhi

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-27538-9_17

Reference31 articles.

1. Mamdani, E.H.: Application of fuzzy logic to approximate reasoning using linguistic synthesis. IEEE Trans. Comput. C–26(12), 1182–1191 (1977)

2. Takagi, T., Sugeno, M.: Fuzzy identification of systems and its applications to modeling and control. IEEE Trans. Syst. Man Cybern. SMC 15(1), 116–132 (1985)

3. Li, J., Yang, L., Qu, Y., Sexton, G.: An extended Takagi-Sugeno-Kang inference system (TSK+) with fuzzy interpolation and its rule base generation. Soft Comput. 22(10), 3155–3170 (2018)

4. Kóczy, L.T., Hirota, K.: Approximate reasoning by linear rule interpolation and general approximation. Int. J. Approximate Reasoning 9(3), 197–225 (1993)

5. Huang, Z., Shen, Q.: Fuzzy interpolation and extrapolation: a practical approach. IEEE Trans. Fuzzy Syst. 16(1), 13–28 (2008)

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1. Fuzzy Rule Interpolation with A General Representation of Fuzzy Sets;2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE);2024-06-30

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