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...
Main Authors: | Fernando Gaxiola, Patricia Melin, Fevrier Valdez, Oscar Castillo, Juan R. Castro |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-09-01
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Series: | Information |
Subjects: | |
Online Access: | https://www.mdpi.com/2078-2489/8/3/114 |
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