doi: 10.7763/IJFCC.2012.V1.72
Reduct Generation from Binary Discernibility Matrix: An Hardware Approach
- 1 MESCOE, Pune, Maharashtra, India.
- 2 VNIT, Nagpur, Maharashtra, India.
Abstract
Rough set theory is a powerful mathematical tool used for extracting useful rules from a huge database. We have proposed a Rough Set Machine which generates rules for classification applications. The classification task concentrates on predicting the value of the decision class for an object among a predefined set of classes’ values. This rough set machine uses the concept of discernibility matrix for calculating the reducts, and using these reducts it generates the rules which are used for classifying the objects. The Reduct block is synthesized and downloaded on FPGA.
Keywords
- Rough set
- discernibility matrix
- reduct
- classification
- FPGA
How to Cite
Kanchan S. Tiwari, Ashwin G. Kothari, and Avinash G. Keskar, "Reduct Generation from Binary Discernibility Matrix: An Hardware Approach," International Journal of Future Computer and Communication, vol. 1, no. 3, pp. 270-272, 2012. https://doi.org/ 10.7763/IJFCC.2012.V1.72
Copyright & License
Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).