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Concept Approximation Based on Rough Sets and Judgment

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Rough Sets (IJCRS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11499))

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Abstract

We discuss an approach of concept approximation based on judgment rather than on partial containment of sets only. This approach seems to be much more general than the traditional one. However, it requires developing some new logical tools for reasoning based on judgment, which is often expressed in natural language.

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Notes

  1. 1.

    The 2011 winner of the ACM Turing Award, the highest distinction in computer science, “for his fundamental contributions to the development of computational learning theory and to the broader theory of computer science” (http://people.seas.harvard.edu/~valiant/researchinterests.htm).

  2. 2.

    More general cases are considered, e.g., in articles [11, 12].

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Acknowledgments

The work of Jaroslaw Stepaniuk was supported by the grant S/WI/1/2018 from Bialystok University of Technology and funded with resources for research by the Ministry of Science and Higher Education in Poland. The research of Andrzej Skowron was partially supported by the NCBiR grant POIR.01.02.00-00-0184/17-01.

Author information

Authors and Affiliations

  1. Faculty of Computer Science, Bialystok University of Technology, Wiejska 45A, 15-351, Bialystok, Poland

    Jaroslaw Stepaniuk

  2. Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, Banacha 2, 02-097, Warsaw, Poland

    Grzegorz Góra

  3. Systems Research Institute, Polish Academy of Sciences, Newelska 6, 01-447, Warsaw, Poland

    Andrzej Skowron

  4. Digital Science and Technology Centre, UKSW, Dewajtis 5, 01-815, Warsaw, Poland

    Andrzej Skowron

Authors
  1. Jaroslaw Stepaniuk
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  2. Grzegorz Góra
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  3. Andrzej Skowron
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Corresponding author

Correspondence to Andrzej Skowron .

Editor information

Editors and Affiliations

  1. University of Debrecen, Debrecen, Hungary

    Tamás Mihálydeák

  2. Southwest Petroleum University, Chengdu, China

    Fan Min

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

    Guoyin Wang

  4. Indian Institute of Technology Kanpur, Kanpur, India

    Mohua Banerjee

  5. Fujian Normal University, Fuzhou, China

    Ivo Düntsch

  6. University of Rzeszów, Rzeszow, Poland

    Zbigniew Suraj

  7. University of Milano-Bicocca, Milan, Italy

    Davide Ciucci

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Stepaniuk, J., Góra, G., Skowron, A. (2019). Concept Approximation Based on Rough Sets and Judgment. In: Mihálydeák, T., et al. Rough Sets. IJCRS 2019. Lecture Notes in Computer Science(), vol 11499. Springer, Cham. https://doi.org/10.1007/978-3-030-22815-6_2

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  • DOI: https://doi.org/10.1007/978-3-030-22815-6_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-22814-9

  • Online ISBN: 978-3-030-22815-6

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