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On Mining Association Rules of Real-Valued Items Using Fuzzy Soft Set

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Recent Advances on Soft Computing and Data Mining (SCDM 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 549))

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Abstract

Association rules is s one of data mining method that have been implemented in many discipline areas. This rule is able to find interesting relation between the data in a large data set. The traditional association rule has been employed to handle crisp set of items. However, for real-valued items, the traditional association rules fail to handle them. This paper introduces an alternative method for mining association rules for real-valued items. It is based on the concept of hybridization between fuzzy and soft sets. This combination is called fuzzy soft association rules. The results show that the introduced concept was able to mine an interesting association rules among the real number of items where they are represented in fuzzy soft set. Furthermore, it has the ability in dealing with uncertainty or vague data.

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Authors and Affiliations

  1. Faculty of Computer Science, Telkom University, Bandung, Indonesia

    Dede Rohidin, Noor A. Samsudin & Tutut Herawan

  2. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Parit Raja, Malaysia

    Dede Rohidin, Noor A. Samsudin & Tutut Herawan

  3. Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia

    Dede Rohidin, Noor A. Samsudin & Tutut Herawan

Authors
  1. Dede Rohidin
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  2. Noor A. Samsudin
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  3. Tutut Herawan
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Corresponding author

Correspondence to Dede Rohidin .

Editor information

Editors and Affiliations

  1. Department of Information System, University of Malaya, Kuala Lumpur, Malaysia

    Tutut Herawan

  2. Universiti Tun Hussein Onn Malaysia, Batu Pahat, Malaysia

    Rozaida Ghazali

  3. Universiti Tun Hussein Onn Malaysia, Batu Pahat, Malaysia

    Nazri Mohd Nawi

  4. Universiti Tun Hussein Onn Malaysia, Batu Pahat, Malaysia

    Mustafa Mat Deris

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Rohidin, D., Samsudin, N.A., Herawan, T. (2017). On Mining Association Rules of Real-Valued Items Using Fuzzy Soft Set. In: Herawan, T., Ghazali, R., Nawi, N.M., Deris, M.M. (eds) Recent Advances on Soft Computing and Data Mining. SCDM 2016. Advances in Intelligent Systems and Computing, vol 549. Springer, Cham. https://doi.org/10.1007/978-3-319-51281-5_52

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  • DOI: https://doi.org/10.1007/978-3-319-51281-5_52

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