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General Information
    • ISSN: 2301-3559
    • Frequency: Quarterly
    • DOI: 10.18178/LNSE
    • Editor-in-Chief: Prof. Jemal Antidze
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET), DOAJ, Electronic Journals Library, Engineering & Technology Digital Library, Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest and Google Scholar.
    • E-mail: lnse@ejournal.net
Editor-in-chief
Prof. Jemal Antidze
I. Vekua Scientific Institute of Applied Mathematics
Tbilisi State University, Georgia
I'm happy to take on the position of editor in chief of LNSE. We encourage authors to submit papers concerning any branch of Software Engineering.

LNSE 2015 Vol.3(3): 214-219 ISSN: 2301-3559
DOI: 10.7763/LNSE.2015.V3.193

The Significance of Using „Expert System‟ to Assess the Preparedness of Training Capabilities against Different Flash Flood Scenarios

M. Hijji, S. Amin, R. Iqbal, and W. Harrop
Abstract—Having an effective disaster management response capability is central to managing civil defense requirements in Saudi Arabia. This paper evaluates the significance of introducing an Expert System (ES) to help support, measure, and improve training and preparedness capabilities of the Saudi Arabian Civil Defense Authority. This paper evaluates the disaster training capabilities, and preparedness needs following many recurrent flash flooding events in Jeddah and Mecca. This paper proposes an ES that could help anticipate, evaluate and improve civil defense flash flood training capabilities against scalable flash flooding risks identified at a local level in Jeddah and Mecca.

Index Terms—Expert system, knowledge-based system, emergency management system, training capabilities, flood management.

M. Hijji, S. Aimn, and R. Iqbal are with Engineering and Computing Faculty, Coventry University, UK (e-mail: hijjim@coventry.ac.uk, s.amin@coventry.ac.uk, r.iqbal@coventry.ac.uk).
W. Harrop is with Faculty of Business and Environment, Coventry University, UK (e-mail: w.harrop@coventry.ac.uk).

[PDF]

Cite: M. Hijji, S. Amin, R. Iqbal, and W. Harrop, "The Significance of Using „Expert System‟ to Assess the Preparedness of Training Capabilities against Different Flash Flood Scenarios," Lecture Notes on Software Engineering vol. 3, no. 3, pp. 214-219, 2015.

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