A numerical Approach to Uncertainty in Rough Logic

@article{She2013ANA,
  title={A numerical Approach to Uncertainty in Rough Logic},
  author={Yanhong She and Xiaoli He},
  journal={Int. J. Uncertain. Fuzziness Knowl. Based Syst.},
  year={2013},
  volume={21},
  pages={391-414}
}
  • Yanhong She, X. He
  • Published 17 June 2013
  • Computer Science
  • Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Rough set theory, initiated by Pawlak, is a mathematical tool in dealing with inexact and incomplete information. Numerical characterizations of rough sets such as accuracy measure, roughness measure, etc, which aim to quantify the imprecision of a rough set caused by its boundary region, have been extensively studied in the existing literatures. However, very few of them are explored from the viewpoint of rough logic, which, however, helps to establish a kind of approximate reasoning mechanism… 

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