Abstract

In this paper, we present a new fuzzy reasoning method based on the compensating fuzzy reasoning (CFR). Its basic idea is to obtain a new fuzzy reasoning result by moving and deforming the consequent fuzzy set on the basis of the moving, deformation, and moving-deformation operations between the antecedent fuzzy set and observation information. Experimental results on real-world data sets show that proposed method signi?ficantly improve the accuracy and time performance of fuzzy neural network learning.

Details

Title
A fuzzy reasoning method based on compensating operation and its application to fuzzy systems
Author
Kwak, S I; Ryu, U S; Kim, G J; Jo, M H
Pages
17-34
Section
Research Paper
Publication year
2019
Publication date
May 2019
Publisher
University of Sistan and Baluchestan, Iranian Journal of Fuzzy Systems
ISSN
17350654
e-ISSN
26764334
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2671761746
Copyright
© 2019. This work is published under https://creativecommons.org/licenses/by-nc/2.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.