Multi-criteria Oil Station Location Evaluation Using Spherical AHP&WASPAS: A Real-Life Case Study

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dc.authorscopusid56008026000
dc.authorscopusid57218311640
dc.contributor.authorOtay, I.
dc.contributor.authorAtik, S.
dc.date.accessioned2024-07-18T20:16:37Z
dc.date.available2024-07-18T20:16:37Z
dc.date.issued2021
dc.descriptionInternational Conference on Intelligent and Fuzzy Systems, INFUS 2020 -- 21 July 2020 through 23 July 2020 -- -- 242349en_US
dc.description.abstractThe world’s dependence on oil and gas has been increasing as global economies and infrastructure continue to rely heavily on petroleum-based products. Thus, there is a significant increase in the number of stations to meet the growing needs of the world. In this study, we concentrate on the location evaluation and selection problem of an oil station. Location selection of an oil & gas station is a Multiple Criteria Decision Making (MCDM) problem comprising several quantitative & qualitative criteria such as environmental, economic, and traffic related factors. In the literature, there are a number of studies focusing on oil-gas station location selection problem using different MCDM methods. The literature review has pointed out that traditional methods for location selection are insufficient for dealing with the indefinite or uncertain nature of linguistic assessment. Thus, considering uncertainties and subjectivity in human judgments, many researchers have been solving the multicriteria decision making problems employing MCDM methods based on the fuzzy sets. There are many extensions of the fuzzy sets such as Type-2, Hesitant, Pythagorean, and Neutrosophic fuzzy sets. In this study, a recently popular extension namely Spherical fuzzy set is used for solving a real-life oil station location evaluation and selection problem. In the study, Spherical fuzzy Analytical Hierarchy Process (SF-AHP) and Spherical fuzzy Weighted Aggregated Sum Product ASsessment (SF-WASPAS) methods are proposed for the solution of the problem. Then, sensitivity analysis is performed. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.en_US
dc.identifier.doi10.1007/978-3-030-51156-2_68
dc.identifier.endpage598en_US
dc.identifier.isbn9783030511555
dc.identifier.issn2194-5357
dc.identifier.scopus2-s2.0-85088741806en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage591en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-030-51156-2_68
dc.identifier.urihttps://hdl.handle.net/11411/6198
dc.identifier.volume1197 AISCen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofAdvances in Intelligent Systems and Computingen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectLocation Selectionen_US
dc.subjectMcdmen_US
dc.subjectSpherical Fuzzy Ahpen_US
dc.subjectSpherical Fuzzy Setsen_US
dc.subjectSpherical Fuzzy Waspasen_US
dc.subjectDecision Makingen_US
dc.subjectFuzzy Setsen_US
dc.subjectGas Plantsen_US
dc.subjectHierarchical Systemsen_US
dc.subjectLocationen_US
dc.subjectSensitivity Analysisen_US
dc.subjectSpheresen_US
dc.subjectFuzzy Analytical Hierarchy Processen_US
dc.subjectLinguistic Assessmenten_US
dc.subjectLiterature Reviewsen_US
dc.subjectMulti-Criteria Decision Making Problemsen_US
dc.subjectMultiple Criteria Decision-Making Problemsen_US
dc.subjectPetroleum Based Productsen_US
dc.subjectQualitative Criteriaen_US
dc.subjectSelection Problemsen_US
dc.subjectPetroleum İndustryen_US
dc.titleMulti-criteria Oil Station Location Evaluation Using Spherical AHP&WASPAS: A Real-Life Case Study
dc.typeConference Object

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