A new algorithm for computing reducts based on the binary discernibility matrix-Reference-Cited by-同舟云学术

A new algorithm for computing reducts based on the binary discernibility matrix

Published:2016-03-01 Issue:2 Volume:20 Page:317-337
ISSN:1088-467X
Container-title:Intelligent Data Analysis
language:
Short-container-title:IDA

Author:

Lazo-Cortés Manuel S.¹,Martínez-Trinidad J.Fco.¹,Carrasco-Ochoa J.A.¹,Diaz Guillermo Sanchez²

Affiliation:

1. Instituto Nacional de Astrofísica, Óptica y Electrónica, Puebla, México

2. Universidad Autónoma de San Luis Potosí, San Luis Potosí, México

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science

Reference35 articles.

1. Bai X., Zhang M., Qiu Y. and Wu Q., Algorithm for decision rules reduction in incomplete information system based on binary discernibility matrix, Int Conf on Mechatronics and Automation ICMA 2009, (2009), 4061-4066.

2. Bazan J.G., Nguyen H.S., Nguyen S.H., Synak P. and Wróblewski J., Rough set algorithms in classification problems, in: Rough Set Methods and Applications: New Developments in Knowledge Discovery in Information Systems, Studies in Fuzziness and Soft Computing, Vol. 56, L. Polkowski, T.Y. Lin and S. Tsumoto, eds, Springer-Verlag/Physica-Verlag, Heidelberg, 2000, pp. 49-88.

3. Bazan J.G. and Szczuka M.S., RSES and RSESlib - a collection of tools for rough set computations, Proc of 2nd Int Conf Rough Sets and Current Trends in Computing, (2000), 106-113.

4. A new approach to attribute reduction of consistent and inconsistent covering decision systems with covering rough sets;Chen;Information Sciences,2007

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