A novel multi attribute decision making approach for location decision under high uncertainty

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dc.contributor.authorTemur, Gul Tekin
dc.date.accessioned2024-03-13T10:30:55Z
dc.date.available2024-03-13T10:30:55Z
dc.date.issued2016
dc.departmentİstanbul Beykent Üniversitesien_US
dc.description.abstractLocation selection is a multi dimensional issue which requires consideration of quantitative and qualitative evaluation criteria. Some of these criteria may have imprecise and uncertain data which make the location selection decision hard to progress. Although many multi attribute decision making (MADM) techniques are utilized in location decision study field, there is a lack of studies which provide solutions by considering high number of supply chain uncertainties. In this study, against the drawbacks of traditional MADM techniques, a novel MADM approach is applied for location decision under high uncertainty as a first time. In the proposed model, a new notion named as cloud based design optimization (CBDO) is utilized because CBDO can take into consideration certain and uncertain factors simultaneously. Furthermore, it provides robust solution within worst case scenario to existing approaches by mediating between aspects of fuzzy set theory and probability distributions. Robustness enables decision makers have managerial and operational foresights about possible unexpected situations, and take necessary actions against risk. An illustrative example is conducted in warehouse location selection problem area to indicate the performance of the proposed approach. It is revealed out that location decision is very sensitive to the consideration of uncertainty and CBDO can be a helpful supportive tool for decision makers in providing solution under high uncertainty. (C) 2015 Elsevier B.V. All rights reserved.en_US
dc.description.sponsorshipTUBITAK (the Scientific and Technological Research Council of Turkey)en_US
dc.description.sponsorshipI would like to thank TUBITAK (the Scientific and Technological Research Council of Turkey) for supporting me during my research.en_US
dc.identifier.doi10.1016/j.asoc.2015.12.027
dc.identifier.endpage682en_US
dc.identifier.issn1568-4946
dc.identifier.issn1872-9681
dc.identifier.scopus2-s2.0-84953865004en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage674en_US
dc.identifier.urihttps://doi.org/10.1016/j.asoc.2015.12.027
dc.identifier.urihttps://hdl.handle.net/20.500.12662/3610
dc.identifier.volume40en_US
dc.identifier.wosWOS:000368560200051en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofApplied Soft Computingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCloud based design optimizationen_US
dc.subjectLocation selectionen_US
dc.subjectMulti attribute decision makingen_US
dc.subjectMulti criteria decision makingen_US
dc.titleA novel multi attribute decision making approach for location decision under high uncertaintyen_US
dc.typeArticleen_US

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