A greedy belief rule base generation and learning method for classification problem-Reference-Cited by-同舟云学术

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A greedy belief rule base generation and learning method for classification problem

Published:2021-01 Issue: Volume:98 Page:106856
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Gao Fei,Zhang An,Bi Wenhao,Ma Junwen

Funder

National Natural Science Foundation of China

the Aeronautical Science Foundation of China

the Key Laboratory Open Foundation of Data Link Technology, PR China

the Research Funds of Interdisciplinary Subject, NWPU, PR China

Publisher

Elsevier BV

Subject

Software

Reference60 articles.

1. A threshold fuzzy entropy based feature selection for medical database classification;Jaganathan;Comput. Biol. Med.,2013

2. A rule extraction approach from support vector machines for diagnosing hypertension among diabetics;Singh;Expert Syst. Appl.,2019

3. Two-phase probabilistic collaborative representation-based classification;Gou;Expert Syst. Appl.,2019

4. A review on type-2 fuzzy logic applications in clustering, classification and pattern recognition;Melin;Appl. Soft Comput.,2014

5. A survey on deep learning in medical image analysis;Litjens;Med. Image Anal.,2017

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