A non-linear programming-based similarity reasoning scheme for modelling of monotonicity-preserving multi-input fuzzy inference systems
In this paper, the zero-order Sugeno Fuzzy Inference System (FIS) that preserves the monotonicity property is studied. The sufficient conditions for the zero-order Sugeno FIS model to satisfy the monotonicity property are exploited as a set of useful governing equations to facilitate the FIS modelli...
Saved in:
Main Authors: | Kai, Meng Tay, Tze, Ling Jee, Chee, Peng Lim |
---|---|
Format: | E-Article |
Language: | English |
Published: |
IOS Press
2012
|
Subjects: | |
Online Access: | http://ir.unimas.my/id/eprint/2963/1/index.html_p%3Daf2286f142dd45d98ad0bd4722997600%26pi%3D4 http://ir.unimas.my/id/eprint/2963/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A New Framework With Similarity Reasoning and
Monotone Fuzzy Rule Relabeling for Fuzzy Inference
Systems
by: Tay, Kai Meng, et al.
Published: (2013) -
An Evolutionary-Based Similarity Reasoning Scheme for Monotonic Multi-Input Fuzzy Inference Systems
by: Kai, M.T, et al.
Published: (2011) -
Building Monotonicity-Preserving Fuzzy Inference Models with Optimization-Based Similarity Reasoning and a Monotonicity Index
by: Kai, M.T, et al.
Published: (2012) -
Similarity reasoning-driven evolutionary fuzzy system for monotonic-preserving models
by: Jee, Tze Ling
Published: (2013) -
A new fuzzy criterion-referenced assessment with a fuzzy rule selection technique and a monotonicity-preserving similarity reasoning scheme
by: Jee, T.L, et al.
Published: (2013)