A new approach for fuzzy classification by a multiple-attribute decision-making model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-022-06912-4.pdf
Reference78 articles.
1. Abaszade M, Effati S (2019) A new method for classifying random variables based on support vector machine. J Classification 36:152–174
2. Ali R, Lee S, Chung TC (2017) Accurate multi-criteria decision making methodology for recommending machine learning algorithm. Exp Syst Appl 71:257–278
3. Angelov P, Zhou X (2008) Evolving fuzzy-rule-based classifiers from data streams. IEEE Transactions on Fuzzy Systems, ISSN 1063-6706, special issue on Evolving Fuzzy Systems, 16 , pp. 1462–1475
4. Bache K, Lichman M, UCI Mach Learn Rep, 2013
5. Baik S, Bala J (2004) A decision tree algorithm for distributed data mining towards network intrusion detection. lecture notes in computer science, 3046: 206–212
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