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An Aspect of Decision Making in Rough Non-deterministic Information Analysis

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New Advances in Intelligent Decision Technologies

Part of the book series: Studies in Computational Intelligence ((SCI,volume 199))

Abstract

We have been proposing a framework Rough Non-deterministic Information Analysis (RNIA), which handles rough sets based concepts in not only Deterministic Information Systems (DISs) but also Non-deterministic Information Systems (NISs). We have recently developed some algorithms and software tools for rule generation from NISs. Obtained rules characterize the tendencies in NISs, and they are often applied to decision making. However, if the condition parts in such rules are not satisfied, obtained rules are not applied to decision making. In this case, we need to examine each data in NISs, directly. In this paper, we add a question-answering with criterion values to RNIA. This addition enhances the aspect of decision making in RNIA.

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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, Kohei Hayashi & Hiroshi Kimura

  2. 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. Kohei Hayashi
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  3. Hiroshi Kimura
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  4. Michinori Nakata
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Editor information

Editors and Affiliations

  1. University of Hyogo, Japan

    Kazumi Nakamatsu

  2. Loyola College in Maryland, Baltimore, MD, USA

    Gloria Phillips-Wren

  3. University of South Australia, Adelaide, Australia

    Lakhmi C. Jain

  4. University of Brighton, UK

    Robert J. Howlett

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Sakai, H., Hayashi, K., Kimura, H., Nakata, M. (2009). An Aspect of Decision Making in Rough Non-deterministic Information Analysis. In: Nakamatsu, K., Phillips-Wren, G., Jain, L.C., Howlett, R.J. (eds) New Advances in Intelligent Decision Technologies. Studies in Computational Intelligence, vol 199. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00909-9_50

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  • DOI: https://doi.org/10.1007/978-3-642-00909-9_50

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00908-2

  • Online ISBN: 978-3-642-00909-9

  • eBook Packages: EngineeringEngineering (R0)

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