Roughness Indicator Fuzzy Set

  • Kankana Chakrabarty
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 9)


In the present paper, the author presents the idea of Roughness Indicator Fuzzy set, which is a fuzzy set associated with an approximation space, capable of indicating the amount of roughness present in the elements and thus she describes how fuzzy membership can be used as as a measure of roughness. The relationships between the different types of indices of fuzziness and the roughness measures are established. It is also observed that nearest ordinary sets play important roles in this case. Consequently, the concept of Roughness Indicator Fuzzy class is also proposed.


Fuzzy Membership Fuzzy Subset Approximation Space Roughness Measure Vague Concept 
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

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Kankana Chakrabarty
    • 1
  1. 1.School of Mathematical and Computer SciencesThe University of New EnglandAustralia

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