Towards Reliable Uncertainty Quantification and High Precision with General Type-2 Fuzzy Systems-Reference-Cited by-同舟云学术

Towards Reliable Uncertainty Quantification and High Precision with General Type-2 Fuzzy Systems

Published:2023-08-13 Issue: Volume: Page:
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Container-title:2023 IEEE International Conference on Fuzzy Systems (FUZZ)
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Author:

Avcı Batuhan¹,Beke Aykut²,Kumbasar Tufan¹

Affiliation:

1. Istanbul Technical University,Control and Automation Engineering Dept.,Istanbul,Turkey

2. ASELSAN Inc.,Control Systems Design Dept.,Ankara,Turkey

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10309665/10309668/10309730.pdf?arnumber=10309730

Reference21 articles.

1. Uncertain Rule-Based Fuzzy Systems

2. Towards Systematic Design of General Type-2 Fuzzy Logic Controllers: Analysis, Interpretation, and Tuning

3. Interpreting Variational Autoencoders with Fuzzy Logic: A step towards interpretable deep learning based fuzzy classifiers;bölar;IEEE Int Conf Fuzzy Syst,0

4. Optimize TSK Fuzzy Systems for Regression Problems: Minibatch Gradient Descent With Regularization, DropRule, and AdaBound (MBGD-RDA)

5. More than Accuracy: A Composite Learning Framework for Interval Type-2 Fuzzy Logic Systems;beke;IEEE Trans Fuzzy Syst,2022

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