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A Primer on Rough Sets: A New Approach to Drawing Conclusions from Data

  • Zdzislaw Pawlak
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 94)

Abstract

Rough set theory is a new mathematical approach to vague and uncertain data analysis. This Article explains basic concepts of the theory through a simple tutorial example and briefly outlines the application of the method to drawing conclusions from factual data. The presented approach can be used in some kind of legal reasoning.

Keywords

Decision Rule Supra Note Coverage Factor Driving Condition Legal Reasoning 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Physica-Verlag Heidelberg 2002

Authors and Affiliations

  • Zdzislaw Pawlak

There are no affiliations available

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