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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

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

Popis výsledku anglicky

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

Druh

C - Kapitola v odborné knize

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

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

ISBN

978-1-61350-429-1

Počet stran výsledku

19

Strana od-do

564-582

Počet stran knihy

784

Název nakladatele

IGI Global

Místo vydání

Hershey, USA

Kód UT WoS kapitoly

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