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

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

Internet

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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