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
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
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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
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