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An Analysis of Rough Set-Based Application Tools in the Decision-Making Process

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Recent Trends in Information and Communication Technology (IRICT 2017)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 5))

Abstract

The rough set theory is one of various methods that are frequently used by researchers in the analysis of complex data to solve different types of problems. Thus, a number of application software and methods have been proposed and published to make use of the benefits of the rough set theory. However, it is quite difficult for a non-rough set expert without any basic knowledge and information to understand and identify the best method or application software. Therefore, this paper proposes to assist the decision maker in selecting the best rough set-based application tool by analysing the capability of several rough set-based application tools in making good decisions. Four rough set-based application tools were selected to deal with the classification problem in the experimental tasks. The tools were ROSE2, 4eMKa2, JAMM and jMAF. The experimental results showed that JAMM, ROSE2 and jMAF returned quite significant results in the classification process. However, the 4eMKA2 performed well in comparison to the other selected software. The validation results of the random forest (RF), support vector machine (SVM) and neural network (NN) also indirectly proved that the dominance-based rough set approach (DRSA) is one of the best approaches to be used in decision-making processes, especially in the classification process.

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Acknowledgments

The authors wish to thank Universiti Teknologi Malaysia (UTM) under Research University Grant Vot-02G31 and Vot-15H17 and Ministry of Higher Education Malaysia (MOHE) under the Fundamental Research Grant Scheme (FRGS Vot-4F551) for the completion of the research.

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Authors and Affiliations

  1. Software Engineering Research Group (SERG), Faculty of Computing, Universiti Teknologi Malaysia, 81310, Johor Bahru, Johor, Malaysia

    Masurah Mohamad & Ali Selamat

Authors
  1. Masurah Mohamad
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  2. Ali Selamat
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Corresponding author

Correspondence to Masurah Mohamad .

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Editors and Affiliations

  1. Faculty of Computing Information Systems Department, Universiti Teknologi Malaysia, Johar, Skudai, Malaysia

    Faisal Saeed

  2. Faculty of Computing Information Systems Department, Universiti Teknologi Malaysia, Johar, Skudai, Malaysia

    Nadhmi Gazem

  3. Department of Computer Science and Engineering, SOA University, Bhubaneswar, Odisha, India

    Srikanta Patnaik

  4. Faculty of Computing, ISSI Research Lab, University of Technology Malaysia, Skudai, Malaysia

    Ali Saleh Saed Balaid

  5. Faculty of Computing, University of Technology Malaysia, Skudai, Malaysia

    Fathey Mohammed

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Mohamad, M., Selamat, A. (2018). An Analysis of Rough Set-Based Application Tools in the Decision-Making Process. In: Saeed, F., Gazem, N., Patnaik, S., Saed Balaid, A., Mohammed, F. (eds) Recent Trends in Information and Communication Technology. IRICT 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 5. Springer, Cham. https://doi.org/10.1007/978-3-319-59427-9_49

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  • DOI: https://doi.org/10.1007/978-3-319-59427-9_49

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59426-2

  • Online ISBN: 978-3-319-59427-9

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