Monotone Data Samples Do Not Always Generate Monotone Fuzzy If-Then Rules

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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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Bibliographic Details
Main Authors:	Teh, Chin Ying, Tay, Kai Meng, Lim, Cheepeng
Format:	Book Chapter
Language:	English
Published:	Springer 2017
Subjects:	QA Mathematics
Online Access:	http://ir.unimas.my/id/eprint/15755/ http://ir.unimas.my/id/eprint/15755/1/Monotone%20Data%20Samples%20Do%20Not%20Always%20%28abstract%29.pdf

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