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Interactions and Applications of Fuzzy, Rough, and Soft Set in Data Mining

Author

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  • Satya Ranjan Dash

    (School of Computer Application, KIIT University, Bhubaneswar, Odisha, India)

  • Satchidananda Dehuri

    (Department of Systems Engineering, Ajou University, Yeongtong-gu, South Korea)

  • Uma kant Sahoo

    (School of Computer Application, KIIT University, Bhubaneswar, Odisha, India)

Abstract

In this paper, interactions among fuzzy, rough, and soft set theory has been studied. The authors have examined these theories as a problem solving tool in association rule mining problems of data mining and knowledge discovery in databases. Although fuzzy and rough set have been well studied areas and successfully applied in association rule mining problem, but soft set theory needs more attention from both theoretical and practical side. Therefore, to make some improvement in this direction, the authors studied soft set theory and its interaction with fuzzy and rough set. Alongside, the authors have taken a numerical example related to a societal problem for realizing the practical importance of these theories.

Suggested Citation

  • Satya Ranjan Dash & Satchidananda Dehuri & Uma kant Sahoo, 2013. "Interactions and Applications of Fuzzy, Rough, and Soft Set in Data Mining," International Journal of Fuzzy System Applications (IJFSA), IGI Global, vol. 3(3), pages 37-50, July.
    • Handle: RePEc:igg:jfsa00:v:3:y:2013:i:3:p:37-50
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    Cited by:

    1. Zeb, Aurang & Ahmad, Waseem & Asif, Muhammad & Simic, Vladimir & Senapati, Tapan & Hou, Muzhou, 2024. "Optimizing decision-making in electric power system selection: A generalized approach based on Hamacher aggregation operators for q-rung orthopair fuzzy soft sets," Applied Energy, Elsevier, vol. 367(C).

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