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Journal of Neutrosophic and Fuzzy Systems

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Online: 2771-6449 Print: 2771-6430
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Open access journal. All articles are freely available online with no APC.

Journal of Neutrosophic and Fuzzy Systems
Full Length Article

Volume 2Issue 1PP: 31-39 • 2022

Data with Rough Attributes and Its Reduct Analysis

Prem Kumar Singh 1*
1Department of Computer Science and Engineering, Gandhi Institute of Technology and Management-Visakhapatnam, Andhra Pradesh 530045, India
* Corresponding Author.
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© 2022 The Author(s). Published by ASPG. This article is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).

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

[1] Singh P. K., “Three-way fuzzy concept lattice representation using neutrosophic set”, International Journal of Machine Learning and Cybernetics,  Vol 8, Issue 1, pp. 69-79, 2017.

 [2] Singh PK, Ch. Aswani Kumar, “Concept lattice reduction using different subset of attributes as information granules”, Granular Computing, Vol. 2, Issue 3), pp. 159–173, 2017 

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[4] Singh PK, “Data with Non-Euclidean Geometry and its Characterization,” Journal of Artificial Intelligence and Technology, 2021, Vol. 2, Issue 1, pp-3-8., DOI: 10.37965/jait.2021.12001 

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[16] Rehman N, Shah N, Ali MI, Park C, “Uncertainty measurement for neighborhood based soft covering rough graphs with applications,” RACSAM, Vol. 113, pp. 2515–2535, 2019

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Cite This Article

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Singh, Prem Kumar. "Data with Rough Attributes and Its Reduct Analysis." Journal of Neutrosophic and Fuzzy Systems, vol. Volume 2, no. Issue 1, 2022, pp. 31-39. DOI: https://doi.org/10.54216/JNFS.020104
Singh, P. (2022). Data with Rough Attributes and Its Reduct Analysis. Journal of Neutrosophic and Fuzzy Systems, Volume 2(Issue 1), 31-39. DOI: https://doi.org/10.54216/JNFS.020104
Singh, Prem Kumar. "Data with Rough Attributes and Its Reduct Analysis." Journal of Neutrosophic and Fuzzy Systems Volume 2, no. Issue 1 (2022): 31-39. DOI: https://doi.org/10.54216/JNFS.020104
Singh, P. (2022) 'Data with Rough Attributes and Its Reduct Analysis', Journal of Neutrosophic and Fuzzy Systems, Volume 2(Issue 1), pp. 31-39. DOI: https://doi.org/10.54216/JNFS.020104
Singh P. Data with Rough Attributes and Its Reduct Analysis. Journal of Neutrosophic and Fuzzy Systems. 2022;Volume 2(Issue 1):31-39. DOI: https://doi.org/10.54216/JNFS.020104
P. Singh, "Data with Rough Attributes and Its Reduct Analysis," Journal of Neutrosophic and Fuzzy Systems, vol. Volume 2, no. Issue 1, pp. 31-39, 2022. DOI: https://doi.org/10.54216/JNFS.020104
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