Some Notes on Monotone TSK Fuzzy Inference Systems
This article presents our recent research on monotone Takagi-Sugeno-Kang (TSK) Fuzzy inference systems (FISs). We outline a few remarks on the necessary and sufficient conditions for TSK-FIS to be monotone, building upon the Ordered Weighted Averaging (OWA) principle and the orness concept. Some re...
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Main Authors: | , , |
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Format: | Proceeding |
Language: | English |
Published: |
NA
2023
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Subjects: | |
Online Access: | http://ir.unimas.my/id/eprint/43792/5/Some%20notes.pdf http://ir.unimas.my/id/eprint/43792/ https://ifsa2023.org/ |
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Summary: | This article presents our recent research on monotone
Takagi-Sugeno-Kang (TSK) Fuzzy inference systems (FISs). We outline a few remarks on the necessary and sufficient conditions for TSK-FIS to be monotone, building upon the Ordered Weighted Averaging (OWA) principle and the orness concept. Some remarks for constructing monotone TSK-FIS from
monotone data, extended from our previous findings,
are further elucidated. |
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