A Pythagorean fuzzy number-based integration of AHP and WASPAS methods for refugee camp location selection problem: a real case study for Istanbul, Turkey

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dc.authoridAYYILDIZ, ERTUGRUL/0000-0002-6358-7860
dc.contributor.authorAyyildiz, Ertugrul
dc.contributor.authorErdogan, Melike
dc.contributor.authorGumus, Alev Taskin
dc.date.accessioned2021-12-01T18:49:41Z
dc.date.available2021-12-01T18:49:41Z
dc.date.issued2021
dc.department[Belirlenecek]en_US
dc.description.abstractThere is an increase in the number of people who have changed their country for compulsory reasons due to the wars experienced worldwide. This raises the problem of identifying the regions where these people, called refugees, will live in the countries. In this regard, we determine in this paper where the camps established for refugees living in Istanbul should be located. The presence of many quantitative and qualitative factors which should be handled in determining the best location has enabled this problem to have multi-criteria decision-making structure. In addition, the advantage of fuzzy logic is used to convert the evaluations taken from experts into available numbers and to include them in decision-making process. For this purpose, a novel model with the integration of Pythagorean fuzzy AHP and Pythagorean fuzzy WASPAS methods is proposed for the first time in the literature, to select the best location for the refugee camp. In addition, a comparative analysis is applied to determine the validity of the results obtained and the sensitivity analysis is applied to check the robustness of the model. As a result, the most suitable location for a refugee camp in Istanbul is identified reasonably with the proposed model.en_US
dc.identifier.doi10.1007/s00521-021-06195-0
dc.identifier.endpage15768en_US
dc.identifier.issn0941-0643
dc.identifier.issn1433-3058
dc.identifier.issue22en_US
dc.identifier.scopus2-s2.0-85108234350en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage15751en_US
dc.identifier.urihttps://doi.org/10.1007/s00521-021-06195-0
dc.identifier.urihttps://hdl.handle.net/20.500.12684/10761
dc.identifier.volume33en_US
dc.identifier.wosWOS:000663271400004en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer London Ltden_US
dc.relation.ispartofNeural Computing & Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectLocation selectionen_US
dc.subjectMulti-criteria decision makingen_US
dc.subjectPythagorean fuzzy setsen_US
dc.subjectRefugee campen_US
dc.subjectOccupational-Healthen_US
dc.subjectRisk-Assessmenten_US
dc.subjectSafetyen_US
dc.subjectModelen_US
dc.subjectExtensionen_US
dc.titleA Pythagorean fuzzy number-based integration of AHP and WASPAS methods for refugee camp location selection problem: a real case study for Istanbul, Turkeyen_US
dc.typeArticleen_US

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