Monotone Data Samples Do Not Always Generate Monotone Fuzzy If-Then Rules
The Wang–Mendel (WM) method is one of the earliest methods to learn fuzzy If-Then rules from data. In this article, the WM method is used to generate fuzzy If-Then rules for a zero-order Takagi–Sugeno–Kang (TSK) fuzzy inference system (FIS) from a set of multi-attribute monotone data. Convex and nor...
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| Main Authors: | , , |
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| Format: | Book Section |
| Language: | English |
| Published: |
Springer
2017
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/15755/1/Monotone%20Data%20Samples%20Do%20Not%20Always%20%28abstract%29.pdf http://ir.unimas.my/id/eprint/15755/ https://link.springer.com/chapter/10.1007/978-981-10-3957-7_15 |
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