Designing Monotone Takagi-Sugeno-Kang Fuzzy Inference Systems with New Joint Sufficient Conditions

Designing Monotone Takagi-Sugeno-Kang Fuzzy Inference Systems with New Joint Sufficient Conditions

The Takagi-Sugeno-Kang Fuzzy Inference System (TSK-FIS) has been a well-known and useful methodology for undertaking various real-world problems. In this paper, we focus on the design of a monotone TSK-FIS model with a “grid partition” strategy for computing its firing strengths using the product T-...

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Bibliographic Details
Main Authors: Kerk, Yi Wen, Jong, Chian Haur, Chang, Wui Lee, Tan, Choo Jun, Tay, Kai Meng, Lim, Chee Peng
Format: Article
Language:English
Published: Elsevier Inc. 2024
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://ir.unimas.my/id/eprint/46793/1/FSS_REV_novrevised%20-%20Copy.pdf
http://ir.unimas.my/id/eprint/46793/
https://www.sciencedirect.com/science/article/abs/pii/S0165011424003634
https://doi.org/10.1016/j.fss.2024.109217
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Institution: Universiti Malaysia Sarawak
Language: English

Internet

http://ir.unimas.my/id/eprint/46793/1/FSS_REV_novrevised%20-%20Copy.pdf
http://ir.unimas.my/id/eprint/46793/
https://www.sciencedirect.com/science/article/abs/pii/S0165011424003634
https://doi.org/10.1016/j.fss.2024.109217

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