Modeling methods for deep fuzzy inference systems based on feature selection-Reference-Cited by-同舟云学术

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Modeling methods for deep fuzzy inference systems based on feature selection

Published:2024-08 Issue: Volume:677 Page:120958
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Wang Xiao-Hui,Zhang Da-Qing^ORCID

Publisher

Elsevier BV

Reference41 articles.

1. On fuzzy feature selection in designing fuzzy classifiers for high-dimensional data;Mansoori;Evolv. Syst.,2016

2. Supervised methods for regrouping attributes in fuzzy rule-based classification systems;Ben Slima;Appl. Intell.,2018

3. A variable selection method for a hierarchical interval type-2 tsk fuzzy inference system;Wei;Fuzzy Sets Syst.,2022

4. Hierarchical fuzzy control;Raju;Int. J. Control,1991

5. A faster convergence and concise interpretability TSK fuzzy classifier deep-wide-based integrated learning;Wang;Appl. Soft Comput.,2019

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