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

Publish Year: 1398
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:

JR_IJFS-16-3_003

تاریخ نمایه سازی: 17 آبان 1400

Abstract:

In this paper, we present a new fuzzy reasoning method based on the compensating fuzzy reasoning (CFR). Its basicidea is to obtain a new fuzzy reasoning result by moving and deforming the consequent fuzzy set on the basis of themoving, 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 timeperformance of fuzzy neural network learning.

Authors

S. I. Kwak

College of Information Science, Kim Il Sung University, Pyongyang ۹۹۹۰۹۳, D P R of Korea

U. S. Ryu

Science of Transportation Science and Engineering, Harbin Institute of Technology, Harbin ۱۵۰۰۰۱, China

G. J. Kim

College of Information Science, Kim Il Sung University, Pyongyang ۹۹۹۰۹۳, D P R of Korea

M. H. Jo

College of Information Science, Kim Il Sung University, Pyongyang ۹۹۹۰۹۳, D P R of Korea

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  • H. Hellendoorn, Fuzzy logic and generalized modus ponens, Technical Report, ...
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  • E. H. Mamdani, S. Assilian, An experiment in linguistic synthesis ...
  • M. Mizumoto, H.J. Zimmermann, Comparison of Fuzzy Reasoning Methods, Fuzzy ...
  • D. Pei, Triple I method for t-norm based logics, Fuzzy ...
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