Journal of Neutrosophic and Fuzzy Systems

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https://doi.org/10.54216/JNFS

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Volume 2 , Issue 1 , PP: 31-39, 2022 | Cite this article as | XML | Html | PDF | Full Length Article

Data with Rough Attributes and Its Reduct Analysis

Prem Kumar Singh 1 *

  • 1 Department of Computer Science and Engineering, Gandhi Institute of Technology and Management-Visakhapatnam, Andhra Pradesh 530045, India - (premsingh.csjm@gmail.com)
  • Doi: https://doi.org/10.54216/JNFS.020104

    Received July 26, 2021 Accepted: Jan 08, 2022
    Abstract

    Recent time many researchers focused on dealing the uncertainty and its characterization. The precise approximation of uncertainty in many-valued data set is one of the major tasks. It becomes more difficult in case the given data sets are non-Euclidean. Hence the rough fuzzy set and its graphical visualization is introduced in this paper for knowledge processing tasks.

    Keywords :

    Fuzzy Rough graph , Knowledge representation , Many-valued attributes , Non-Euclidean geometry , Rough Set , Rough graph

    References

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    Cite This Article As :
    Kumar, Prem. Data with Rough Attributes and Its Reduct Analysis. Journal of Neutrosophic and Fuzzy Systems, vol. , no. , 2022, pp. 31-39. DOI: https://doi.org/10.54216/JNFS.020104
    Kumar, P. (2022). Data with Rough Attributes and Its Reduct Analysis. Journal of Neutrosophic and Fuzzy Systems, (), 31-39. DOI: https://doi.org/10.54216/JNFS.020104
    Kumar, Prem. Data with Rough Attributes and Its Reduct Analysis. Journal of Neutrosophic and Fuzzy Systems , no. (2022): 31-39. DOI: https://doi.org/10.54216/JNFS.020104
    Kumar, P. (2022) . Data with Rough Attributes and Its Reduct Analysis. Journal of Neutrosophic and Fuzzy Systems , () , 31-39 . DOI: https://doi.org/10.54216/JNFS.020104
    Kumar P. [2022]. Data with Rough Attributes and Its Reduct Analysis. Journal of Neutrosophic and Fuzzy Systems. (): 31-39. DOI: https://doi.org/10.54216/JNFS.020104
    Kumar, P. "Data with Rough Attributes and Its Reduct Analysis," Journal of Neutrosophic and Fuzzy Systems, vol. , no. , pp. 31-39, 2022. DOI: https://doi.org/10.54216/JNFS.020104