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

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

Satya Ranjan Dash (School of Computer Application, KIIT University, Bhubaneswar, Odisha, India), Satchidananda Dehuri (Department of Systems Engineering, Ajou University, Yeongtong-gu, South Korea) and Uma kant Sahoo (School of Computer Application, KIIT University, Bhubaneswar, Odisha, India)
Copyright: © 2013 |Pages: 14
DOI: 10.4018/ijfsa.2013070102
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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.
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In this section, we will discuss some of the basic materials required for our research and related work in this area.

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