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

被引：0

作者：

Kwaki, S., I ^{[1
]}

Ryu, U. S. ^{[2
]}

Kim, G. J. ^{[1
]}

Jo, M. H. ^{[1
]}

机构：

[1] Kim Il Sung Univ, Coll Informat Sci, Pyongyang 999093, South Korea

[2] Harbin Inst Technol, Sci Transportat Sci & Engn, Harbin 150001, Heilongjiang, Peoples R China

来源：

IRANIAN JOURNAL OF FUZZY SYSTEMS | 2019年 / 16卷 / 03期

关键词：

Compensating Fuzzy Reasoning; Moving-Deformation Operation; Fuzzy System; Fuzzy Modus Ponens; Fuzzy Modus Tollens; SIMILARITY; IDENTIFICATION; ALGORITHMS;

D O I：

暂无

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

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 significantly improve the accuracy and time performance of fuzzy neural network learning.

引用

页码：17 / 34

页数：18

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