Rough Sets , their Extensions and Applications

@inproceedings{Shen2008RoughS,
  title={Rough Sets , their Extensions and Applications},
  author={Qiang Shen and Richard Jensen},
  year={2008}
}
Rough set theory provides a useful mathematical foundation for developing automated computational systems that can help understand and make use of imperfect knowledge. Despite its recency, the theory and its extensions have been widely applied to many problems, including decision analysis, data-mining, intelligent control and pattern recognition. This paper presents an outline of the basic concepts of rough sets and their major extensions, covering variable precision, tolerance and fuzzy rough… CONTINUE READING

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Putting Rough Sets and Fuzzy Sets Together

  • D. Dubois, H. Prade
  • Intelligent Decision Support, pp. 203–232
  • 1992
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