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Monotonic Fuzzy Systems as Universal Approximators for Monotonic Functions SCIE SCOPUS

Title
Monotonic Fuzzy Systems as Universal Approximators for Monotonic Functions
Authors
Kim, JWon, JMKoo, KLee, JS
Date Issued
2012-01
Publisher
AUTOSOFT PRESS
Abstract
In this paper, we propose a constructive method to develop a fuzzy system having a monotonic input-output relationship and prove that the developed fuzzy system can approximate any continuously differentiable monotonic function with any desired degree of accuracy. The fuzzy system is constructed with complete and consistent input membership functions and imposes special parametric constraints on the consequent part of the fuzzy rules. The monotonicity property and approximation capability of the developed fuzzy system are demonstrated using numerical examples.
Keywords
Fuzzy constraint satisfaction; fuzzy systems; monotonic fuzzy systems; monotonicity constraints; universal approximation; SUFFICIENT CONDITIONS; CONTROLLERS; CONSTRAINTS; MODELS
URI
https://oasis.postech.ac.kr/handle/2014.oak/14512
DOI
10.1080/10798587.2012.10643224
ISSN
1079-8587
Article Type
Article
Citation
Intelligent Automation and Soft Computing, vol. 18, no. 1, page. 13 - 31, 2012-01
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