Otay, I.Atik, S.2024-07-182024-07-18202197830305115552194-5357https://doi.org/10.1007/978-3-030-51156-2_68https://hdl.handle.net/11411/6198International Conference on Intelligent and Fuzzy Systems, INFUS 2020 -- 21 July 2020 through 23 July 2020 -- -- 242349The 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.eninfo:eu-repo/semantics/closedAccessLocation SelectionMcdmSpherical Fuzzy AhpSpherical Fuzzy SetsSpherical Fuzzy WaspasDecision MakingFuzzy SetsGas PlantsHierarchical SystemsLocationSensitivity AnalysisSpheresFuzzy Analytical Hierarchy ProcessLinguistic AssessmentLiterature ReviewsMulti-Criteria Decision Making ProblemsMultiple Criteria Decision-Making ProblemsPetroleum Based ProductsQualitative CriteriaSelection ProblemsPetroleum İndustryConference Object2-s2.0-8508874180610.1007/978-3-030-51156-2_68598N/A5911197 AISC