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Rough Set Analysis for Sudan School Certificate

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Rough Sets and Knowledge Technology (RSKT 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5589))

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Abstract

This paper has applied the decision analysis of the rough set theory to see the affect of each factor in the result of the Sudan School Certificate Examination. Through the analysis, we have compared between the percentage of success in male and female, and we have tried to answer which type of schools has the biggest number of examined students and which state in Sudan has the highest concentration of examined students. To answer these questions and to achieve good results, the paper has applied the concepts of reduction and rule generation.

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Author information

Authors and Affiliations

  1. College of Computer Science and IT, King Faisal University, Alahsa, 31982, Saudi Arabia

    Moawia Elfaki Yahia

  2. Faculty of Mathematical Sciences, University of Khartoum, Khartoum, 11115, Sudan

    Nasrin Dalil Ali Arabi

Authors
  1. Moawia Elfaki Yahia
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  2. Nasrin Dalil Ali Arabi
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Editor information

Editors and Affiliations

  1. Faculty of Engineering and Surveying and Engineering, University of Southern Queensland, QLD 4350, Australia

    Peng Wen

  2. School of Information Technology, Queensland University of Technology, QLD 4001, Brisbane, Australia

    Yuefeng Li

  3. Institute of Mathematics, Warsaw University of Technology, Koszykowa 86, 02008, Warsaw, Poland

    Lech Polkowski

  4. Department of Computer Science, University of Regina, S4S 0A2, Regina, Saskatchewan, Canada

    Yiyu Yao

  5. Faculty of Medicine, Department of Medical Informatics, Shimane University, 89-1 Enya-cho, Izumo, 693-8501, Shimane, Japan

    Shusaku Tsumoto

  6. Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China

    Guoyin Wang

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© 2009 Springer-Verlag Berlin Heidelberg

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Yahia, M.E., Arabi, N.D.A. (2009). Rough Set Analysis for Sudan School Certificate. In: Wen, P., Li, Y., Polkowski, L., Yao, Y., Tsumoto, S., Wang, G. (eds) Rough Sets and Knowledge Technology. RSKT 2009. Lecture Notes in Computer Science(), vol 5589. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02962-2_79

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  • DOI: https://doi.org/10.1007/978-3-642-02962-2_79

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02961-5

  • Online ISBN: 978-3-642-02962-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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