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New Perspectives in Information Systems and Technologies, Volume 1 pp 399–410Cite as

Using a Multi-Criteria Approach in Early Warning Information Systems (MCEWIS)

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 275))

Abstract

A great deal of research has been conducted and numerous software programs have been created around the world in order to monitor events that cause threats. Such efforts had sought to predict possible disastrous events and help minimize their adverse effects on human life and property. The authors have developed a multi-criteria early warning information system (MCEWIS) to detect risks or expected hazards in the law enforcement sector. The distinguishing feature is using the EWS with a multi-factor/ multi-criteria approach to select the most important factors affecting the risk or even stimulating it. The EWS will automatically calculate the weight of each criterion/indicator and compare all criteria according to this weight. If one criterion has more weight than the others; this reflects the importance of this criterion in stimulating or increasing the risk. The paper describes the new approach and demonstrates the proof-of-concept.

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Author information

Authors and Affiliations

  1. Faculty of Computers and Information, Cairo University, Giza, Egypt

    Mohamed Saadeldin, Sherif Mazen & Ehab Ezzat

  2. Faculty of Management and Information Systems, French University, Cairo, Egypt

    Hegazy Zaher

Authors
  1. Mohamed Saadeldin
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  2. Sherif Mazen
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  3. Ehab Ezzat
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  4. Hegazy Zaher
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Corresponding author

Correspondence to Mohamed Saadeldin .

Editor information

Editors and Affiliations

  1. Universidade de Coimbra & LIACC, Rio Tinto, Portugal

    Álvaro Rocha

  2. Instituto Superior de Estatística e Gestão de Informação, Universidade Nova de Lisboa, Lisboa, Portugal

    Ana Maria Correia

  3. Department of Business Information Systems, Auckland University of Technology, Auckland, New Zealand

    Felix . B Tan

  4. Empirica GmbH, Bonn, Germany

    Karl . A Stroetmann

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© 2014 Springer International Publishing Switzerland

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Saadeldin, M., Mazen, S., Ezzat, E., Zaher, H. (2014). Using a Multi-Criteria Approach in Early Warning Information Systems (MCEWIS). In: Rocha, Á., Correia, A., Tan, F., Stroetmann, K. (eds) New Perspectives in Information Systems and Technologies, Volume 1. Advances in Intelligent Systems and Computing, vol 275. Springer, Cham. https://doi.org/10.1007/978-3-319-05951-8_38

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  • DOI: https://doi.org/10.1007/978-3-319-05951-8_38

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05950-1

  • Online ISBN: 978-3-319-05951-8

  • eBook Packages: EngineeringEngineering (R0)

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