Ant Colony reduction with modified rules generation for rough classification model

Azuraliza Abu Bakar, Salwani Abdullah, Faizah Patahol Rahman, Abdul Razak Hamdan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we propose a rough classification modeling algorithm based on Ant Colony Optimization (ACO) reduction. We used ACO to compute the rough set reduct and later a modified rules generation method is employed to generate the classification rules. The rules generation algorithm used is the simplification of the Default Rules Generation Framework (DRGF) in order to fit with the ACO reduct. The performance of the proposed classifier is compared with the DRGF based classifier using genetic reduction. The experimental results show that the ACO-Rough performs better with higher classification accuracy and fewer number of rules.

Original languageEnglish
Title of host publicationProceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10
Pages1005-1008
Number of pages4
DOIs
Publication statusPublished - 2010
Event2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10 - Cairo
Duration: 29 Nov 20101 Dec 2010

Other

Other2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10
CityCairo
Period29/11/101/12/10

Fingerprint

Ant colony optimization
Classifiers

Keywords

  • Ant Colony Optimization
  • Reduct
  • Rules generation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Hardware and Architecture

Cite this

Abu Bakar, A., Abdullah, S., Rahman, F. P., & Hamdan, A. R. (2010). Ant Colony reduction with modified rules generation for rough classification model. In Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10 (pp. 1005-1008). [5687055] https://doi.org/10.1109/ISDA.2010.5687055

Ant Colony reduction with modified rules generation for rough classification model. / Abu Bakar, Azuraliza; Abdullah, Salwani; Rahman, Faizah Patahol; Hamdan, Abdul Razak.

Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10. 2010. p. 1005-1008 5687055.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abu Bakar, A, Abdullah, S, Rahman, FP & Hamdan, AR 2010, Ant Colony reduction with modified rules generation for rough classification model. in Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10., 5687055, pp. 1005-1008, 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10, Cairo, 29/11/10. https://doi.org/10.1109/ISDA.2010.5687055
Abu Bakar A, Abdullah S, Rahman FP, Hamdan AR. Ant Colony reduction with modified rules generation for rough classification model. In Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10. 2010. p. 1005-1008. 5687055 https://doi.org/10.1109/ISDA.2010.5687055
Abu Bakar, Azuraliza ; Abdullah, Salwani ; Rahman, Faizah Patahol ; Hamdan, Abdul Razak. / Ant Colony reduction with modified rules generation for rough classification model. Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10. 2010. pp. 1005-1008
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