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Comparative Analysis of Hybrid Soft Set Methods

Comparative Analysis of Hybrid Soft Set Methods
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Author(s): Debadutta Mohanty (Seemanta Mohavidyalaya, India)
Copyright: 2014
Pages: 24
Source title: Global Trends in Intelligent Computing Research and Development
Source Author(s)/Editor(s): B.K. Tripathy (VIT University, India)and D. P. Acharjya (VIT University, India)
DOI: 10.4018/978-1-4666-4936-1.ch013

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Abstract

The whole mathematical scenario has changed with the advent of the Rough Set Theory, a powerful tool to deal with uncertainty and incompleteness of knowledge in information system. With the advancement of research, the Soft Set Theory has emerged as an advanced mathematical tool to deal with data associated with uncertainty. The present chapter endeavors to forge a connection between soft set and rough set and maps a new model rough soft set to address the challenges of vagueness and impreciseness. Although the research contribution of M. Irfan Ali, Dan Meng, et al. and Feng Feng et al. had given distinct definition of rough soft set and soft rough set, the analysis explaining the genesis of these sets is not appropriate. This chapter is a new attempt to construct the relationship between a rough set, soft set, and fuzzy set to form a hybrid soft set giving a concrete comprehensive definition of rough soft set in border perspective.

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