A Rough Inference Software System for Computer-Assisted Reasoning-Reference-Cited by-同舟云学术

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A Rough Inference Software System for Computer-Assisted Reasoning

Published:2021-10-03 Issue: Volume: Page:59-76
ISSN:2662-3447
Container-title:Learning and Analytics in Intelligent Systems
language:
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Author:

Kokosiński Zbigniew,Jaworski Kacper

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-80571-5_5

Reference25 articles.

1. R. Bello, Y. Gómez, Y. Caballero, A. Nowe, R. Falcón, Rough sets and evolutionary computation to solve the feature selection problem, in Rough Set Theory: A True Landmark in Data Analysis. Studies in Computational Intelligence, vol. 174, eds. by A. Abraham, R. Falcón, R. Bello (Springer, Berlin, Heidelberg, 2009). https://doi.org/10.1007/978-3-540-89921-1_9

2. G. Borowik, T. Łuba, Fast algorithm of attribute reduction based on the complementation of boolean function, in Advanced Methods and Applications in Computational Intelligence. Topics in Intelligent Engineering and Informatics, vol 6, eds. by R. Klempous, J. Nikodem, W. Jacak, Z. Chaczko (Springer, Heidelberg, 2014), pp. 25–45. https://doi.org/10.1007/978-3-319-01436-4_2

3. G. Chandrashekar, F. Sahin, A survey on feature selection methods. Comput. Electr. Eng. 40, 16–28 (2014). https://doi.org/10.1016/j.compeleceng.2013.11.024

4. F.J. Gimpel, A method of producing a Boolean function having arbitrary prescribed prime implicant table. IEEE Trans. Comput. 485–488, C-14 (1965). https://doi.org/10.1109/PGEC.1965.264175

5. M.R. Garey, D.S. Johnson, Comput. Intractability (A guide to the theory of NP-completeness, Freeman, San Francisco, 1979)

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