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

  • Mohamed Saadeldin
  • Sherif Mazen
  • Ehab Ezzat
  • Hegazy Zaher
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 275)


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.


Early Warning Multi-criteria Decision Support Forecasting Indicator 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Mohamed Saadeldin
    • 1
  • Sherif Mazen
    • 1
  • Ehab Ezzat
    • 1
  • Hegazy Zaher
    • 2
  1. 1.Faculty of Computers and InformationCairo UniversityGizaEgypt
  2. 2.Faculty of Management and Information SystemsFrench UniversityCairoEgypt

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