3 Rough Set Theory – Fundamental Concepts , Principals , Data Extraction , and Applications

@inproceedings{Rissino20123RS,
  title={3 Rough Set Theory – Fundamental Concepts , Principals , Data Extraction , and Applications},
  author={Silvia Rissino and Germano Lambert-Torres},
  year={2012}
}
Rough Set Theory, proposed in 1982 by Zdzislaw Pawlak, is in a state of constant development. Its methodology is concerned with the classification and analysis of imprecise, uncertain or incomplete information and knowledge, and of is considered one of the first non-statistical approaches in data analysis (Pawlak, 1982). The fundamental concept behind Rough Set Theory is the approximation of lower and upper spaces of a set, the approximation of spaces being the formal classification of… CONTINUE READING
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