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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

  • 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