Some Foundational Aspects of Rough Sets Rendering Its Wide Applicability

摘要

This paper aims to discuss about the reasons behind the wide applicability of the rough set approach in real-life projects. The rough set-based approximations of (vague) concepts is one among the most central notions, available in the literature, for dealing with imperfect data and/or information. Moreover, as the approach based on rough sets is directly driven from data it turns out to be advantageous for real life projects where data plays a crucial role. Besides, using rough set approach one can deal efficiently with algorithmic issues, especially in the context of searching for relevant computational building blocks (granules) for approximation of complex vague concepts. In this paper, we would focus on these few aspects of rough sets, in order to explain its wide applicability in real-life projects.