Comparison of T-Norms and S-Norms for Interval Type-2 Fuzzy Numbers in Weight Adjustment for Neural Networks

Comparison of T-Norms and S-Norms for Interval Type-2 Fuzzy Numbers in Weight Adjustment for Neural Networks

A comparison of different T-norms and S-norms for interval type-2 fuzzy number weights is proposed in this work. The interval type-2 fuzzy number weights are used in a neural network with an interval backpropagation learning enhanced method for weight adjustment. Results of experiments and a compara...

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Bibliographic Details
Main Authors: Fernando Gaxiola, Patricia Melin, Fevrier Valdez, Oscar Castillo, Juan R. Castro
Format: Article
Language:English
Published: MDPI AG 2017-09-01
Series:Information
Subjects:
fuzzy numbers
type-2 fuzzy weights
neural networks
backpropagation
time series prediction
Online Access:https://www.mdpi.com/2078-2489/8/3/114

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