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A Fuzzy Approach to Disaster Modelling: Decision Making Support and Disaster Management Tool for Emergency Medical Rescue Services

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F12%3A33141823" target="_blank" >RIV/61989592:15310/12:33141823 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.4018/978-1-61350-429-1.ch028" target="_blank" >http://dx.doi.org/10.4018/978-1-61350-429-1.ch028</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.4018/978-1-61350-429-1.ch028" target="_blank" >10.4018/978-1-61350-429-1.ch028</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Fuzzy Approach to Disaster Modelling: Decision Making Support and Disaster Management Tool for Emergency Medical Rescue Services

  • Original language description

    The decision making process of the Emergency Medical Rescue Services (EMRS) operations centre during disasters involves a significant amount of uncertainty. Decisions need to be made quickly, and no mistakes are tolerable, particularly in the case of disasters resulting in a large number of injured people. A multiphase linguistic fuzzy model is introduced to assist the operator during the initial phase of the medical disaster response. Based on uncertain input data, estimating the severity of the disaster, the number of injured people, and the amount of forces and resources needed to successfully deal with the situation is possible. The need for reinforcements is also considered. Fuzzy numbers, linguistic variables and fuzzy rule bases are applied to deal with the uncertainty. Outputs provided by the model (severity of the disaster, number of reinforcements needed etc.) are available both as fuzzy sets (for the purposes of disaster planning) and linguistic terms (for emergency call eva

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2012

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Book/collection name

    Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies

  • ISBN

    978-1-61350-429-1

  • Number of pages of the result

    19

  • Pages from-to

    564-582

  • Number of pages of the book

    784

  • Publisher name

    IGI Global

  • Place of publication

    Hershey, USA

  • UT code for WoS chapter