Fuzzy and robust approach for decision-making in disaster situations
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F22%3A94278" target="_blank" >RIV/60460709:41110/22:94278 - isvavai.cz</a>
Result on the web
<a href="https://link-springer-com.infozdroje.czu.cz/article/10.1007/s10100-021-00790-1" target="_blank" >https://link-springer-com.infozdroje.czu.cz/article/10.1007/s10100-021-00790-1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s10100-021-00790-1" target="_blank" >10.1007/s10100-021-00790-1</a>
Alternative languages
Result language
čeština
Original language name
Fuzzy and robust approach for decision-making in disaster situations
Original language description
The paper deals with the combination of multiple criteria decision making, fuzzy modelling, and robust optimization for shortest path planning (graph theory) in emergency management. Many factors can be included in the evaluation of uncertainty in emergency situations. Graph theory is used for representation of affected area, fuzzy modelling approach and fuzzy linguistic scales are used for the assessment of these factors and the resulting uncertainty. Based on the aggregation of the multiple criteria evaluation, the edges of the graph are divided into subsets according to their levels of uncertainty. Finally, we introduce a robust approach that reflects these different subsets and allows us to plan paths under uncertainty in travel times on edges. Different relevant scenarios are calculated and compared with each other. The results show that setting different uncertainty levels has a significant impact on the solution. The suggested approach using vague terms is shown as a possible tool for setting
Czech name
Fuzzy and robust approach for decision-making in disaster situations
Czech description
The paper deals with the combination of multiple criteria decision making, fuzzy modelling, and robust optimization for shortest path planning (graph theory) in emergency management. Many factors can be included in the evaluation of uncertainty in emergency situations. Graph theory is used for representation of affected area, fuzzy modelling approach and fuzzy linguistic scales are used for the assessment of these factors and the resulting uncertainty. Based on the aggregation of the multiple criteria evaluation, the edges of the graph are divided into subsets according to their levels of uncertainty. Finally, we introduce a robust approach that reflects these different subsets and allows us to plan paths under uncertainty in travel times on edges. Different relevant scenarios are calculated and compared with each other. The results show that setting different uncertainty levels has a significant impact on the solution. The suggested approach using vague terms is shown as a possible tool for setting
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Central European Journal of Operations Research
ISSN
1435-246X
e-ISSN
1613-9178
Volume of the periodical
30
Issue of the periodical within the volume
2
Country of publishing house
US - UNITED STATES
Number of pages
29
Pages from-to
617-645
UT code for WoS article
000721473300002
EID of the result in the Scopus database
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