Publication:
A Survey on Spherical Fuzzy Sets and Clustering the Literature

dc.authorscopusid36350013100
dc.authorscopusid57205664363
dc.authorscopusid7004319382
dc.authorscopusid6507247573
dc.contributor.authorÖzceylan, E.
dc.contributor.authorOzkan, B.
dc.contributor.authorKabak, M.
dc.contributor.authorDagdeviren, M.
dc.date.accessioned2025-12-11T00:28:10Z
dc.date.issued2021
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Özceylan] Eren, Department of Industrial Engineering, Gaziantep Üniversitesi, Gaziantep, Gaziantep, Turkey; [Ozkan] Barış, Department of Industrial Engineering, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Kabak] Mehmet, Department of Industrial Engineering, Gazi Üniversitesi, Ankara, Ankara, Turkey; [Dagdeviren] Metin, Department of Industrial Engineering, Gazi Üniversitesi, Ankara, Ankara, Turkeyen_US
dc.description.abstractIn addition to the well-known fuzzy sets, a novel type of fuzzy sets called as spherical fuzzy set (SFS) is recently introduced in the literature. SFS is the generalized structure over existing structures of fuzzy sets (intuitionistic fuzzy sets, Pythagorean fuzzy sets, and neutrosophic sets) based on three dimensions (truth, falsehood, and indeterminacy) to provide a wider choice for decision makers (DMs). Although the SFS is introduced recently, the topic attracts the attention of academicians at a remarkable rate. Hence, a comprehensive literature review of recent and state-of-the-art papers is vital to draw a framework of the past, and to shed light on future directions. To do so, a systematic review methodology is followed and 43 academic papers include SFS are selected and reviewed. The papers are then analyzed and categorized based on the titles and abstracts to construct a useful foundation of past research. Finally, trends and gaps in the literature are identified to clarify and to suggest future research opportunities in fuzzy logic area. © 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_12
dc.identifier.endpage97en_US
dc.identifier.isbn9783319604855
dc.identifier.isbn9783319276427
dc.identifier.isbn9783319419343
dc.identifier.isbn9783319232034
dc.identifier.isbn9783319938844
dc.identifier.isbn9783642330414
dc.identifier.isbn9783319262833
dc.identifier.isbn9788132220084
dc.identifier.isbn9783642375019
dc.identifier.isbn9783030026820
dc.identifier.issn2194-5357
dc.identifier.issn2194-5365
dc.identifier.scopus2-s2.0-85088747189
dc.identifier.startpage87en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-030-51156-2_12
dc.identifier.urihttps://hdl.handle.net/20.500.12712/36495
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofAdvances in Intelligent Systems and Computing -- International Conference on Intelligent and Fuzzy Systems, INFUS 2020 -- 2020-07-21 through 2020-07-23 -- Istanbul -- 242349en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectClusteringen_US
dc.subjectFuzzy Logicen_US
dc.subjectLiterature Reviewen_US
dc.subjectSpherical Fuzzy Setsen_US
dc.subjectSurveyen_US
dc.titleA Survey on Spherical Fuzzy Sets and Clustering the Literatureen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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