Fuzzy disaster relief planning with credibility measures

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dc.contributor.authorMert A.
dc.contributor.authorAdivar B.O.
dc.date.accessioned2019-10-26T22:48:51Z
dc.date.available2019-10-26T22:48:51Z
dc.date.issued2010
dc.departmentEge Üniversitesien_US
dc.description24th Mini EURO Conference on Continuous Optimization and Information-Based Technologies in the Financial Sector, MEC EurOPT 2010 -- 23 June 2010 through 26 June 2010 -- Izmir -- 106702en_US
dc.description.abstractWe propose a disaster relief planning model that can handle unclear information while maximizing the credibility of the relief organizations in the most cost efficient way. Considering the uncertainty and incompleteness of the disaster data, we propose a novel non-linear fuzzy credibility measure based on the timely arrival of the relief items. By using fuzzy linear programming, theoretical performance of the relief effort is optimized for the desired level of credibility and more effective asset utilization is provided. The applicability of the model is justified with real data to demonstrate its use for organizations to establish accountable and more credible status in the eyes of donor countries and vulnerable communities. © Izmir University of Economics, Turkey, 2010.en_US
dc.identifier.endpage317en_US
dc.identifier.isbn9789955285977
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage312en_US
dc.identifier.urihttps://hdl.handle.net/11454/20197
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherVilnius Gediminas Technical Universityen_US
dc.relation.ispartof24th Mini EURO Conference on Continuous Optimization and Information-Based Technologies in the Financial Sector, MEC EurOPT 2010en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDisaster managementen_US
dc.subjectEmergency logisticsen_US
dc.subjectFuzzy linear programmingen_US
dc.titleFuzzy disaster relief planning with credibility measuresen_US
dc.typeConference Objecten_US

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