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In the literature, generalized three-dimensional spherical fuzzy sets have been developed by Kutlu G\u00fcndo\u011fdu and Kahraman (2019), including their arithmetic operations, aggregation operators, and defuzzification operations. Spherical Fuzzy Sets (SFS) are a new extension of Intuitionistic, Pythagorean and Neutrosophic Fuzzy sets, a SFS is characterized by a membership degree, a nonmembership degree, and a hesitancy degree satisfying the condition that their squared sum is equal to or less than one. These sets provide a larger preference domain in 3D space for decision makers (DMs). In this paper, our aim is to extend classical VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method to spherical fuzzy VIKOR (SF-VIKOR) method and to show its applicability and validity through an illustrative example and to present a comparative analysis between spherical fuzzy TOPSIS (SF-TOPSIS) and SF-VIKOR. We handle a warehouse location selection problem with four alternatives and four criteria in order to demonstrate the performance of the proposed SF-VIKOR method.<\/jats:p>","DOI":"10.3233\/jifs-182651","type":"journal-article","created":{"date-parts":[[2019,6,21]],"date-time":"2019-06-21T11:50:15Z","timestamp":1561117815000},"page":"1197-1211","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":166,"title":["A novel VIKOR method using spherical fuzzy sets and its application to warehouse site selection"],"prefix":"10.1177","volume":"37","author":[{"given":"Fatma","family":"Kutlu G\u00fcndo\u011fdu","sequence":"first","affiliation":[{"name":"Industrial Engineering Department, Istanbul Technical University, Besiktas, Istanbul, Turkey"},{"name":"Industrial Engineering Department, Istanbul K\u00fclt\u00fcr University, Bak\u0131rkoy, Istanbul, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cengiz","family":"Kahraman","sequence":"additional","affiliation":[{"name":"Industrial Engineering Department, Istanbul Technical University, Besiktas, Istanbul, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2019,6,19]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2015.11.008"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.apm.2012.04.033"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2016.12.042"},{"key":"e_1_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2013.04.010"},{"key":"e_1_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0165-0114(98)00244-9"},{"key":"e_1_3_1_7_2","volume-title":"A unifying field in logics neutroso-phy:neutrosophic probability, set and logic","author":"Smarandache F.","year":"1999","unstructured":"F.Smarandache, A unifying field in logics neutroso-phy:neutrosophic probability, set and logic, Rehoboth: American Research Press, 1999."},{"key":"e_1_3_1_8_2","first-page":"287","article-title":"Neutrosophic set-a generalization of the intuitionistic fuzzy set.","author":"Smarandache F.","year":"2003","unstructured":"F.Smarandache, Neutrosophic set-a generalization of the intuitionistic fuzzy set. 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