Dealing with uncertainty by Fuzzy evaluation and robust optimization

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F21%3A88435" target="_blank" >RIV/60460709:41110/21:88435 - isvavai.cz</a>

Výsledek na webu

<a href="https://mme2021.v2.czu.cz/en/r-16791-news-mme-2021/proceedings-of-the-39-th-international-conference-on-mme-202.html" target="_blank" >https://mme2021.v2.czu.cz/en/r-16791-news-mme-2021/proceedings-of-the-39-th-international-conference-on-mme-202.html</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Dealing with uncertainty by Fuzzy evaluation and robust optimization

Popis výsledku v původním jazyce

The paper addresses the issue of an emergency supply routes planning in an area affected by an unexpected disaster event. Such event can have extensive harmful effects on the availability of the traffic infrastructure, which is a crucial part of any emergency delivery planning. By the nature of the matter, emergency supply routes planning must cope with a great presence of uncertainty in many aspects. It is demonstrated in this work how the fuzzy evaluation and linear robust optimization can be used to handle the uncertainty and plan emergency supply routes. The fuzzy evaluation is used to describe the consequences of a disaster event on routes. The fuzzy evaluation is based on fuzzy linguistic scales, that allows the decision-maker to use vague terms to describe the current situation and create a relevant uncertainty set later used by the robust optimization model for the route planning itself. The robust optimization model is based on robustified shortest path problem. The present-ed approach is de

Název v anglickém jazyce

Dealing with uncertainty by Fuzzy evaluation and robust optimization

Popis výsledku anglicky

The paper addresses the issue of an emergency supply routes planning in an area affected by an unexpected disaster event. Such event can have extensive harmful effects on the availability of the traffic infrastructure, which is a crucial part of any emergency delivery planning. By the nature of the matter, emergency supply routes planning must cope with a great presence of uncertainty in many aspects. It is demonstrated in this work how the fuzzy evaluation and linear robust optimization can be used to handle the uncertainty and plan emergency supply routes. The fuzzy evaluation is used to describe the consequences of a disaster event on routes. The fuzzy evaluation is based on fuzzy linguistic scales, that allows the decision-maker to use vague terms to describe the current situation and create a relevant uncertainty set later used by the robust optimization model for the route planning itself. The robust optimization model is based on robustified shortest path problem. The present-ed approach is de

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10102 - Applied mathematics

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 39th International Conference on Mathematical Methods in Economics

ISBN

978-80-213-3126-6

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

423-428

Název nakladatele

Czech University of Life Sciences Prague

Místo vydání

Prague

Místo konání akce

Czech University of Life Sciences Prague

Datum konání akce

8. 9. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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