A fuzzy rule extraction method based on Dempster–Shafer theory
Author:
Funder
Intercollegiate joint training project of colleges and universities in Liaoning Province
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00500-024-09649-4.pdf
Reference25 articles.
1. Abdulgader M, Kaur D (2019) Evolving Mamdani fuzzy rules using swarm algorithms for accurate data classification. IEEE Access 7:175907–175916
2. Ahouz F, Golabpour A (2021) A novel structure of highly interpretable fuzzy rules extraction. Front Health Inform 10(53):1–9
3. Alcala-Fdez J, Fernandez A, Luengo J et al (2011) Keel data-mining software tool: data set repository, integration of algorithms and experimental analysis framework. J Multiple-Valued Log Soft Comput 17(2–3):255–287
4. Beynon M, Curry B, Morgan P (2000) The Dempster-Shafer theory of evidence: an alternative approach to multicriteria decision modelling. Omega 28(1):37–50
5. Casillas J, Cordon O, Herrera F (2002) COR: a methodology to improve $$ad$$$$hoc$$ data-driven linguistic rule learning methods by inducing cooperation among rules. IEEE Trans Syst Man Cybern 32(4):526–537
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