Monotonicity preserving SIRMs-connected fuzzy inference systems with a new monotonicity index: Learning and tuning

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Monotonicity preserving SIRMs-connected fuzzy inference systems with a new monotonicity index: Learning and tuning

Recent research on Single Input Rule Modules (SIRMs)-connected fuzzy inference system (FIS) focuses on its monotonicity property fulfillment. The aim of this paper is to propose an alternative approach for modeling of monotonicity-preserving SIRMs-connected FIS. A new monotonicity index (MI) for app...

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Bibliographic Details
Main Authors:	See, Hung Lau, Tay, Kai Meng, Chee, Khoon Ng
Format:	Article
Language:	English
Published:	IEEE 2013
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://ir.unimas.my/id/eprint/8363/ http://ir.unimas.my/id/eprint/8363/1/Monotonicity%20Preserving%20SIRMs-Connected%20Fuzzy%20%28abstract%29.pdf

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