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Extensions of Information Systems: The Rough Set Perspective

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Transactions on Rough Sets X

Part of the book series: Lecture Notes in Computer Science ((TRS,volume 5656))

Abstract

In the paper, we consider the extensions of information systems from the rough set perspective. A consistent extension of a given information system includes only objects corresponding to the known attribute values which satisfy all minimal rules extracted from the original information system. A partially consistent extension of a given information system includes objects corresponding to the known attribute values which are consistent, to a certain degree with the knowledge represented by all minimal rules extracted from the original information system. Using adequately defined lower approximations of sets of objects in the original information system we can test membership of a new object added to the system to its consistent extension without computing any rules. If a given object does not belong to a consistent extension, then we can calculate a degree of the partial membership of the object to the consistent extension. This degree is expressed by the so-called consistency factor. Consistent and partially consistent extensions of information systems are useful in discovering or predicting new states of concurrent systems described by information systems.

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Author information

Authors and Affiliations

  1. University of Information Technology and Management, Sucharskiego Str. 2, 35-225, Rzeszów, Poland

    Krzysztof Pancerz

  2. Zamość University of Management and Administration, Akademicka Str. 4, 22-400, Zamość, Poland

    Krzysztof Pancerz

Authors
  1. Krzysztof Pancerz
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Editor information

Editors and Affiliations

  1. Department of Electrical and Computer Engineering, Winnipeg, University of Manitoba, R3T 5V6, Manitoba, Canada

    James F. Peters

  2. Institute of Mathematics, Warsaw University, Banacha 2, 02-097, Warsaw, Poland

    Andrzej Skowron

  3. Department of Logic and Philosophy of Science, Maria Curie-Skłodowska University, Marii Curie-Skłodowskiej 4, 20-031, Lublin, Poland

    Marcin Wolski

  4. University of Calcutta, Kolkata, India

    Mihir K. Chakraborty

  5. Zhejiang Ocean University, Zhejiang, P.R. China

    Wei-Zhi Wu

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Pancerz, K. (2009). Extensions of Information Systems: The Rough Set Perspective. In: Peters, J.F., Skowron, A., Wolski, M., Chakraborty, M.K., Wu, WZ. (eds) Transactions on Rough Sets X. Lecture Notes in Computer Science, vol 5656. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03281-3_6

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  • DOI: https://doi.org/10.1007/978-3-642-03281-3_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03280-6

  • Online ISBN: 978-3-642-03281-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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