Paper Info
Title
Three-Parameter Fuzzy Arithmetic Approximation Of L-R Fuzzy Numbers For Fuzzy Neural Networks
Abstract
In this study, we proposed an alternative operation of fuzzy arithmetic on L-R fuzzy numbers by three parameters of mode, left spread and right spread. Then, based on this approximation method, a new teaming algorithm of a fully fuzzified neural network was developed in which the L-R fuzzy numbers were considered as the fuzzy signals. While the forward operations of fuzzy signals were based on the proposed three-parameter fuzzy arithmetic approximation method, the backward teaming adopted a back-propagation teaming procedure with a measurable error function. The teaming algorithm was illustrated by an example of the recognition of fuzzy IF-THEN rules. The simulation result showed that the proposed approximation method used in such teaming model was efficient and accurate.
Year
DOI
Venue
2006
10.1142/S0218488506003959
INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS
Keywords
Field
DocType
three-parameter fuzzy arithmetic approximation, L-R fuzzy number, learning algorithm, fuzzy neural networks
Discrete mathematics,Neuro-fuzzy,Defuzzification,Fuzzy classification,Fuzzy set operations,Fuzzy logic,Fuzzy mathematics,Artificial intelligence,Fuzzy number,Type-2 fuzzy sets and systems,Machine learning,Mathematics
Journal
Volume
Issue
ISSN
14
2
0218-4885
Citations 
PageRank 
References 
1
0.40
13
Authors
2
Name
Order
Citations
PageRank
Hsiao-Fan Wang127827.24
Ching-Yi Kuo2131.05