Interval-based and fuzzy set-based approaches to modeling of fuzzy inference systems with the local monotonicity property
Even though the importance of the local monotonicity property for function approximation problems is well established, there are relative few investigations addressing issues related to the fulfillment of the local monotonicity property in Fuzzy Inference System (FIS) modeling. We have previously co...
Main Authors: | Chin, Ying Teh, Tay, Kai Meng, Chee, Peng Lim |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2013
|
Subjects: | |
Online Access: | http://ir.unimas.my/16564/ http://ir.unimas.my/16564/ http://ir.unimas.my/16564/ http://ir.unimas.my/16564/1/Interval-based%20and%20Fuzzy%20Set-based%20Approaches%20%28abstract%29.pdf |
Similar Items
-
Monotone Fuzzy Rule Relabeling for the Zero-Order TSK Fuzzy Inference System
by: Tay, Kai Meng, et al.
Published: (2016) -
A New Monotonicity Index for Fuzzy Rule-based Systems
by: Lie, Meng Pang, et al.
Published: (2014) -
Monotonicity preserving SIRMs-connected fuzzy inference systems with a new monotonicity index: Learning and tuning
by: See, Hung Lau, et al.
Published: (2013) -
A New Framework With Similarity Reasoning and
Monotone Fuzzy Rule Relabeling for Fuzzy Inference
Systems
by: Tay, Kai Meng, et al.
Published: (2013) -
Building Fuzzy Inference Systems with Similarity Reasoning: NSGA II-based Fuzzy Rule Selection and Evidential Functions
by: Tze, Ling Jee, et al.
Published: (2014)