A fuzzy reasoning method based on compensating operation and its application to fuzzy systems

Document Type: Research Paper


1 College of Information Science, Kim Il Sung University, Pyongyang 999093, D P R of Korea

2 Science of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150001, China


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.


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