Author/Authors :
Kwak, S.I College of Information Science - Kim Il Sung University, Pyongyang 999093, D P R of Korea , Ryu, U.S Science of Transportation Science and Engineering - Harbin Institute of Technology, Harbin 150001, China , Kim, J.G College of Information Science - Kim Il Sung University, Pyongyang 999093, D P R of Korea , Jo, M.H College of Information Science - Kim Il Sung University, Pyongyang 999093, D P R of Korea
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 signicantly improve the accuracy and time
performance of fuzzy neural network learning.
Keywords :
Fuzzy Modus Tollens , Fuzzy Modus Ponens , Fuzzy System , Moving-Deformation Operation , Compensating Fuzzy Reasoning
