Data-and knowledge-driven belief rule learning for hybrid classification-Reference-Cited by-同舟云学术

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Data-and knowledge-driven belief rule learning for hybrid classification

Published:2024-10 Issue: Volume:681 Page:121201
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Geng Xiaojiao,Ma Haonan,Jiao Lianmeng^ORCID,Zhou Zhi-Jie

Funder

Shaanxi Science and Technology Association

Scientific Research Plan Projects of Shaanxi Education Department

National Natural Science Foundation of China

Shaanxi Province Key Research and Development Projects

Publisher

Elsevier BV

Reference49 articles.

1. Keel data-mining software tool: data set repository, integration of algorithms and experimental analysis framework;Alcalá-Fdez;J. Mult.-Valued Log. Soft Comput.,2011

2. Interpretable fuzzy systems modeling with cooperation between expert and induced knowledge;Alonso,2007

3. Designing highly interpretable fuzzy rule-based systems with integration of expert and induced knowledge;Alonso,2008

4. Bayesian credit scoring model with integration of expert knowledge and customer data;Biçer,2010

5. A method for integrating expert knowledge when learning Bayesian networks from data;Cano;IEEE Trans. Syst. Man Cybern., Part B, Cybern.,2011

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