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International Joint Conference on Rough Sets

IJCRS 2018: Rough Sets pp 491–501Cite as

Rough Set Approach to Sufficient Statistics

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11103))

Abstract

In the paper, the approach of using rough sets to verifying sufficiency of a statistic is presented. The notions of the rough set approximation operators on statistics, consistency between statistics and its properties are introduced. Then, based on these materials, the results on the sufficiency of a statistic are given.

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References

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Acknowledgments

The authors would like to thank all the anonymous reviewers for their comments to improve the quality of the paper.

Author information

Authors and Affiliations

  1. Department of Mathematics and Informatics, Dalat University, Dalat, Vietnam

    Huynh Bao Tuyen, Ta Thi Thu Phuong & Dang Phuoc Huy

  2. University of Science, VNU-HCM, Ho Chi Minh City, Vietnam

    Ta Thi Thu Phuong

Authors
  1. Huynh Bao Tuyen
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  2. Ta Thi Thu Phuong
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  3. Dang Phuoc Huy
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Corresponding author

Correspondence to Ta Thi Thu Phuong .

Editor information

Editors and Affiliations

  1. University of Warsaw, Warsaw, Poland

    Hung Son Nguyen

  2. Faculty of Information Technology, Vietnam National University, Hanoi, Vietnam

    Quang-Thuy Ha

  3. School of Information Science, Southwest Jiaotong University, Chengdu, China

    Tianrui Li

  4. Institute of Computer Science, University of Silesia, Sosnowiec, Poland

    Małgorzata Przybyła-Kasperek

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Tuyen, H.B., Phuong, T.T.T., Huy, D.P. (2018). Rough Set Approach to Sufficient Statistics. In: Nguyen, H., Ha, QT., Li, T., Przybyła-Kasperek, M. (eds) Rough Sets. IJCRS 2018. Lecture Notes in Computer Science(), vol 11103. Springer, Cham. https://doi.org/10.1007/978-3-319-99368-3_38

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  • DOI: https://doi.org/10.1007/978-3-319-99368-3_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99367-6

  • Online ISBN: 978-3-319-99368-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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