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A Recent Study on the Rough Set Theory in Multi-Criteria Decision Analysis Problems

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Computational Collective Intelligence

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9330))

Abstract

Rough set theory (RST) is one of the data mining tools, which have many capabilities such as to minimize the size of an input data and to produce sets of decision rules from a set of data. RST is also one of the great techniques used in dealing with ambiguity and uncertainty of datasets. It was introduced by Z. Pawlak in 1997 and until now, there are many researchers who really make use of its advantages either to make an enhancement of the RST or to apply in various research areas such as in decision analysis, pattern recognition, machine learning, intelligent systems, inductive reasoning, data preprocessing, knowledge discovery, and expert systems. This paper presents a recent study on the elementary concepts of RST and its implementation in the multi-criteria decision analysis (MCDA) problems.

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Author information

Authors and Affiliations

  1. UTM-IRDA Digital Media Center of Excellence, Universiti Teknologi Malaysia, 81310, Johor, Malaysia

    Masurah Mohamad & Ali Selamat

  2. Faculty of Computing, Universiti Teknologi Malaysia, 81310, Johor, Malaysia

    Masurah Mohamad & Ali Selamat

  3. Faculty of Informatics and Management, Center for Basic and Applied Research, University of Hradec Kralove, Rokitanskeho 62, 500 03, Hradec Kralove, Czech Republic

    Ondrej Krejcar & Kamil Kuca

Authors
  1. Masurah Mohamad
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  2. Ali Selamat
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  3. Ondrej Krejcar
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  4. Kamil Kuca
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Corresponding author

Correspondence to Ali Selamat .

Editor information

Editors and Affiliations

  1. Universidad Complutense de Madrid, Madrid, Spain

    Manuel Núñez

  2. Wroclaw University of Technology, Wroclaw, Poland

    Ngoc Thanh Nguyen

  3. Computer Science Department, Universidad Autónoma De Madrid, Madrid, Spain

    David Camacho

  4. Wroclaw University of Technology, Wroclaw, Poland

    Bogdan Trawiński

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Mohamad, M., Selamat, A., Krejcar, O., Kuca, K. (2015). A Recent Study on the Rough Set Theory in Multi-Criteria Decision Analysis Problems. In: Núñez, M., Nguyen, N., Camacho, D., Trawiński, B. (eds) Computational Collective Intelligence. Lecture Notes in Computer Science(), vol 9330. Springer, Cham. https://doi.org/10.1007/978-3-319-24306-1_26

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  • DOI: https://doi.org/10.1007/978-3-319-24306-1_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24305-4

  • Online ISBN: 978-3-319-24306-1

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