Knowledge Acquisition and Qualitative Reasoning for Flood Control

Oishi, S.; Ikebuchi, S.

doi:10.1007/978-94-017-3081-5_24

S. Oishi⁴ &
S. Ikebuchi⁴

Part of the book series: Water Science and Technology Library ((WSTL,volume 10/2))

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Abstract

In this paper, we will develop an inference system for supporting flood control by using qualitative reasoning which is one of the methods of artificial intelligence. First we will refer to difficulties which occur when we apply the qualitative reasoning to flood control as well as general difficulties inherent to qualitative reasoning. We will propose how to solve the former type of difficulties. In our system, a method of controlling inference flow eliminates these difficulties. Finally, we apply the system to a real flood caused in the Managawa river.

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Authors and Affiliations

Water Resources Research Center, Disaster Prevention Research Institute, Kyoto University, Gokasho, Uji, Kyoto 611, Japan
S. Oishi & S. Ikebuchi

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S. Oishi
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S. Ikebuchi
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Editors and Affiliations

Departments of Systems Design Engineering and Statistics and Actuarial Science, University of Waterloo, Waterloo, Ontario, Canada
Keith W. Hipel (Professor and Chair) & Liping Fang (Assistant Professor) (Professor and Chair) & (Assistant Professor)
Department of Mechanical Engineering, Ryerson Polytechnic University, Toronto, Ontario, Canada
Liping Fang (Assistant Professor) (Assistant Professor)

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Oishi, S., Ikebuchi, S. (1994). Knowledge Acquisition and Qualitative Reasoning for Flood Control. In: Hipel, K.W., Fang, L. (eds) Stochastic and Statistical Methods in Hydrology and Environmental Engineering. Water Science and Technology Library, vol 10/2. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-3081-5_24

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DOI: https://doi.org/10.1007/978-94-017-3081-5_24
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-4380-1
Online ISBN: 978-94-017-3081-5
eBook Packages: Springer Book Archive

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