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Intelligent Decision Support System for River Floodplain Management

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Knowledge-Based Software Engineering (JCKBSE 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 466))

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Abstract

Decision making in river floodplain management is a complex process that involves many stakeholders and experts. Since stakeholders and experts often pursue mutually exclusive objectives and are often geographically distributed, decision making process takes a long time and not as optimal as it should be. Use of intelligent decision support system (IDSS) allows to decrease the duration of decision making process and to improve the quality and efficiency of decisions. In this paper we present the knowledge-based system for intelligent support of decision making in river floodplain management. This system integrates the case based reasoning (CBR), qualitative reasoning (QR) and ontological knowledge base. Proposed knowledge representation model is formally represented by the OWL DL ontology. For this model we give the descriptions of case retrieval, adaptation and revising algorithms. Designed and implemented CBR-based IDSS for river floodplain management uses object-oriented analysis and Java2 technology.

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Author information

Authors and Affiliations

  1. Leibniz University Hannover, Hannover, Germany

    Peter Wriggers

  2. Volgograd State Technical University, Volgograd, Russia

    Marina Kultsova, Alexander Kapysh, Anton Kultsov & Irina Zhukova

Authors
  1. Peter Wriggers
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  2. Marina Kultsova
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  3. Alexander Kapysh
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  4. Anton Kultsov
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  5. Irina Zhukova
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Editor information

Editors and Affiliations

  1. Volgograd State Technical University, Lenin av., 64/1, k.20, Volgograd, Russia

    Alla Kravets

  2. Volgograd State Technical University, Lenin av., 28, k.1406, Volgograd, Russia

    Maxim Shcherbakov

  3. Volgograd State Technical University, Lenin av., 28, k.904, Volgograd, Russia

    Marina Kultsova

  4. Department of Administration Engineering, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, P.O. Box, 223-8522, Yokohama-shi, Kanagawa-ken, Japan

    Tadashi Iijima

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© 2014 Springer International Publishing Switzerland

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Wriggers, P., Kultsova, M., Kapysh, A., Kultsov, A., Zhukova, I. (2014). Intelligent Decision Support System for River Floodplain Management. In: Kravets, A., Shcherbakov, M., Kultsova, M., Iijima, T. (eds) Knowledge-Based Software Engineering. JCKBSE 2014. Communications in Computer and Information Science, vol 466. Springer, Cham. https://doi.org/10.1007/978-3-319-11854-3_18

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  • DOI: https://doi.org/10.1007/978-3-319-11854-3_18

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11853-6

  • Online ISBN: 978-3-319-11854-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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