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Approximations on Normal Forms in Rough-Fuzzy Predicate Calculus

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Rough Sets and Knowledge Technology (RSKT 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9436))

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Abstract

Considering the importance of Pawlak’s Rough Set Model in information systems, in 2005, G. Ganesan discussed the rough approximations on fuzzy attributes of the information systems. In 2008, G. Ganesan et al., have introduced Rough-Fuzzy connectives confining to the information system as a logical system with fuzzy membership values. In this paper, a two way approach on normal forms through the Rough-Fuzzy connectives using lower and upper literals is discussed.

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References

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Authors and Affiliations

  1. Department of Mathematics, Adikavi Nannaya University, Rajahmundry, Andhra Pradesh, India

    B. N. V. Satish & G. Ganesan

Authors
  1. B. N. V. Satish
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  2. G. Ganesan
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Corresponding author

Correspondence to B. N. V. Satish .

Editor information

Editors and Affiliations

  1. University of Milano-Bicocca, Milano, Italy

    Davide Ciucci

  2. Chongqing University of Posts and Telecommunications, Chongqing, China

    Guoyin Wang

  3. Indian Statistical Institute, Kolkata, India

    Sushmita Mitra

  4. Zhejiang Ocean University, Zhejiang, China

    Wei-Zhi Wu

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Satish, B.N.V., Ganesan, G. (2015). Approximations on Normal Forms in Rough-Fuzzy Predicate Calculus. In: Ciucci, D., Wang, G., Mitra, S., Wu, WZ. (eds) Rough Sets and Knowledge Technology. RSKT 2015. Lecture Notes in Computer Science(), vol 9436. Springer, Cham. https://doi.org/10.1007/978-3-319-25754-9_33

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  • DOI: https://doi.org/10.1007/978-3-319-25754-9_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25753-2

  • Online ISBN: 978-3-319-25754-9

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