• DocumentCode
    3529966
  • Title

    Prototype of an Expert System for Natural Disasters´ Control and Alert

  • Author

    Zanchett Manchein, Mayra ; Momo, Marcos Rodrigo ; Heinzle, Roberto

  • Author_Institution
    FURB, Blumenau, Brazil
  • fYear
    2015
  • fDate
    8-10 July 2015
  • Firstpage
    378
  • Lastpage
    381
  • Abstract
    This work aims to develop an Expert system (ES), which assists the user to have a control against floods and landslides in the watershed of the Itajaí-Açu River region. In Blumenau, mainly, the occurrence of this kind of disaster is common and the people need to have means to always be informed and to know how to act in this kind of situation. The Operation Center of Alert System Itajaí Basin (CEOPS) is an example of it, because it is a mean of very useful information when some disaster occurs. In order to provide an extra alternative about these questions, it was developed a system where the user can simulate situations, working as a tool for forecasting floods and landslides. The knowledge base was created with information provided by CEOPS and existing scientific works of the study area. It was developed in the Java language integrated with the Java Embedded Object-Oriented Production Systems (JEOPS) tool, responsible for the construction of the knowledge base and the rules inference.
  • Keywords
    Java; disasters; environmental science computing; expert systems; floods; geomorphology; inference mechanisms; object-oriented programming; CEOPS; JEOPS tool; Java embedded object-oriented production systems tool; Java language; expert system; flood; knowledge base; landslide; natural disaster control; rules inference; watershed; Floods; Java; Knowledge based systems; Production; Prototypes; Terrain factors; CEOPS; Expert system; JEOPS; Natural disasters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complex, Intelligent, and Software Intensive Systems (CISIS), 2015 Ninth International Conference on
  • Conference_Location
    Blumenau
  • Print_ISBN
    978-1-4799-8869-3
  • Type

    conf

  • DOI
    10.1109/CISIS.2015.55
  • Filename
    7185215