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Intelligent Assistance, Retrieval, Reminder and Advice for Fuzzy Multicriteria Decision-Making

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2774))

Abstract

In this paper, we propose a model for intelligent decision support model that draws upon the integration of case-based reasoning and fuzzy multicriteria decision-making. The model provides intelligent assistance, retrieval, reminder, and advice to a decision-maker. The model is illustrated in the context of tropical cyclone track prediction, where it provides intelligent tools to assist a forecaster in understanding the current cyclone situation and make use of large volume of historical operational meteorological data to determine future location of a current cyclone.

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Author information

Authors and Affiliations

  1. School of Information Management and Systems, Monash University, 26 Sir John Monash Drive, Caulfield East, Victoria, 3145, Australia

    Jocelyn San Pedro & Frada Burstein

Authors
  1. Jocelyn San Pedro
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  2. Frada Burstein
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Editor information

Editors and Affiliations

  1. Computing Laboratory, Oxford University, Parks Road, OXI 3QD, Oxford, United Kingdom

    Vasile Palade

  2. Centre for SMART Systems, School of Environment and Technology, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. Knowledge-Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, SA 5095, Adelaide, Australia

    Lakhmi Jain

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© 2003 Springer-Verlag Berlin Heidelberg

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Pedro, J.S., Burstein, F. (2003). Intelligent Assistance, Retrieval, Reminder and Advice for Fuzzy Multicriteria Decision-Making. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2774. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45226-3_6

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  • DOI: https://doi.org/10.1007/978-3-540-45226-3_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40804-8

  • Online ISBN: 978-3-540-45226-3

  • eBook Packages: Springer Book Archive

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