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Non-deterministic Information in Rough Sets: A Survey and Perspective

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Rough Sets and Knowledge Technology (RSKT 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8171))

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Abstract

We have been coping with issues connected with non-deterministic information in rough sets. Non-deterministic information is a kind of incomplete information, and it defines a set in which the actual value exists, but we do not know which is the actual value. If the defined set is equal to the domain of attribute values, we may see this is corresponding to a missing value. We need to pick up the merits in each information, and need to apply them to analyzing data sets. In this paper, we describe our opinion on non-deterministic information as well as incomplete information, some algorithms, software tools, and its perspective in rough sets.

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Author information

Authors and Affiliations

  1. Department of Basic Sciences, Faculty of Engineering, Kyushu Institute of Technology, Tobata, Kitakyushu, 804-8550, Japan

    Hiroshi Sakai

  2. Graduate School of Engineering, Kyushu Institute of Technology, Tobata, Kitakyushu, 804-8550, Japan

    Mao Wu & Naoto Yamaguchi

  3. Faculty of Management and Information Science, Josai International University, Gumyo, Togane, Chiba, 283, Japan

    Michinori Nakata

Authors
  1. Hiroshi Sakai
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  2. Mao Wu
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  3. Naoto Yamaguchi
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  4. Michinori Nakata
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Editor information

Editors and Affiliations

  1. Saint Mary’s University, B3H 3C3, Halifax, NS, Canada

    Pawan Lingras

  2. Maria Curie-Skłodowska University, Lublin, Poland

    Marcin Wolski

  3. University of Granada, Spain

    Chris Cornelis

  4. Indian Statistical Institute, 700108, Kolkata, India

    Sushmita Mitra

  5. University of Warsaw, 02-097, Warsaw, Poland

    Piotr Wasilewski

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Sakai, H., Wu, M., Yamaguchi, N., Nakata, M. (2013). Non-deterministic Information in Rough Sets: A Survey and Perspective. In: Lingras, P., Wolski, M., Cornelis, C., Mitra, S., Wasilewski, P. (eds) Rough Sets and Knowledge Technology. RSKT 2013. Lecture Notes in Computer Science(), vol 8171. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41299-8_2

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  • DOI: https://doi.org/10.1007/978-3-642-41299-8_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41298-1

  • Online ISBN: 978-3-642-41299-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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