An Approximated Four-Phase Fuzzy Learning Algorithm

Authors

  • Shin-Jye Lee Institute of Management of Technology, National Chiao Tung University, Taiwan

DOI:

https://doi.org/10.26821/IJSHRE.9.6.2021.9617

Keywords:

Fuzzy Inference Systems

Abstract

This work mainly aims to develop a dynamic
modular fuzzy inference system by integrating the
innovation of pattern recognition, the concept of fuzzy
learning algorithm, the method of function
approximation, the skill of system optimisation, and
certain supports of multi-disciplines. With the
development of the advanced fuzzy inference system,
more and more methods have been proposed to
effectively design the automatic fuzzy inference
systems.

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Published

2021-06-29

How to Cite

Shin-Jye Lee. (2021). An Approximated Four-Phase Fuzzy Learning Algorithm. iJournals:International Journal of Software & Hardware Research in Engineering ISSN:2347-4890, 9(6). https://doi.org/10.26821/IJSHRE.9.6.2021.9617