Rough Sets Based LEM2 Rules Generation Supported by FPGA

Issue title: Rough Sets, Rule-Based Approaches, and Knowledge Representation

Guest editors: Davide Ciucci, Dominik Ślęzak and Marcin Wolski

Article type: Research Article

Authors: Kopczyński, Maciej | Grześ, Tomasz | Stepaniuk, Jarosław^*

Affiliations: Faculty of Computer Science, Bialystok University of Technology, Wiejska 45A, 15-351 Bialystok, Poland. m.kopczynski@pb.edu.pl, t.grzes@pb.edu.pl, j.stepaniuk@pb.edu.pl

Correspondence: [*] Address for correspondence: Faculty of Computer Science, Bialystok University of Technology, Wiejska 45A, 15-351 Bialystok, Poland

Abstract: In this paper we propose a combination of capabilities of the FPGA based device and PC computer for rough sets based data processing resulting in generating decision rules. Presented architecture has been tested on the exemplary datasets. Obtained results confirm the significant acceleration of the computation time using hardware supporting rough set operations in comparison to software implementation.

DOI: 10.3233/FI-2016-1425

Journal: Fundamenta Informaticae, vol. 148, no. 1-2, pp. 107-122, 2016