Novel T-norm for Fuzzy-Rough Rule Induction Algorithm and Its Influence-Reference-Cited by-同舟云学术

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Novel T-norm for Fuzzy-Rough Rule Induction Algorithm and Its Influence

Published:2022 Issue: Volume: Page:115-125
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Naumoski Andreja,Mirceva Georgina,Mitreski Kosta

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-04206-5_9

Reference18 articles.

1. Jensen, R., Cornelis, C., Shen, Q.: Hybrid fuzzy-rough rule induction and feature selection. In: IEEE International Conference on Fuzzy Systems, 2009. FUZZY-IEEE 2009, pp. 1151–1156 (2009)

2. Pawlak, Z.: Rough Sets: Theoretical Aspects of Reasoning About Data. Kluwer Academic Publishing (1991)

3. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);N-C Hsieh,2008

4. Shen, Q., Chouchoulas, A.: A rough-fuzzy approach for generating classification rules. Patt. Recogn. 35(11), 2425–2438 (2002)

5. Greco, S., Inuiguchi, M., Slowinski, R.: Fuzzy rough sets and multiple-premise gradual decision rules. Int. J. Approximate Reasoning 41, 179–211 (2005)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Influence of the Drastic T-norm on Two Fuzzy- Rough Rule Induction Algorithms;2023 4th International Conference on Communications, Information, Electronic and Energy Systems (CIEES);2023-11-23

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