A Novel Bivariate Elliptic Fuzzy Membership Function: A Modeling and Decision-Making Tool for Bike Sharing

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dc.contributor.authorBaşaran, Alparslan A.
dc.contributor.authorBaşaran, Murat Alper
dc.contributor.authorDemir, Mehmet Ozer
dc.date.accessioned2026-01-24T12:20:51Z
dc.date.available2026-01-24T12:20:51Z
dc.date.issued2023
dc.departmentAlanya Alaaddin Keykubat Üniversitesi
dc.descriptionIntelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference -- 2023-08-22 through 2023-08-24 -- Istanbul -- 299549
dc.description.abstractIn this paper, the data set generated by Bike Sharing System (BSS) has been modeled by a proposed method called fuzzy bivariate elliptic membership function that generates membership values between an independent variable and dependent variable whose functional form follows an ellipse since all numerical variables following a cyclic pattern such as season, month, hour, weather situation and so on. Besides, each membership value corresponding to each independent and dependent variable is used to find an aggregate outcome of a dependent variable based on a new decision-making tool. Therefore, how both weather and time combinations have an impact on the dependent variable could be derived. Since there is no built-in membership function available, the data set is used to construct a data-driven elliptic fuzzy membership function. Thus, the Chebyshev inequality based on the correlated variables is used to determine both the a and b parameters of the elliptic function representing 95% of the whole dataset. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
dc.identifier.doi10.1007/978-3-031-39774-5_10
dc.identifier.endpage84
dc.identifier.isbn9789819652372
dc.identifier.isbn9783031931055
dc.identifier.isbn9789819662968
dc.identifier.isbn9783031999963
dc.identifier.isbn9783031950162
dc.identifier.isbn9783031947698
dc.identifier.isbn9783032004406
dc.identifier.isbn9783031910074
dc.identifier.isbn9783032066671
dc.identifier.isbn9783031926105
dc.identifier.issn2367-3370
dc.identifier.scopus2-s2.0-85171998973
dc.identifier.scopusqualityQ4
dc.identifier.startpage77
dc.identifier.urihttps://doi.org/10.1007/978-3-031-39774-5_10
dc.identifier.urihttps://hdl.handle.net/20.500.12868/4633
dc.identifier.volume758 LNNS
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relation.ispartofLecture Notes in Networks and Systems
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20260121
dc.subjectBike-sharing
dc.subjectChebyshev’s inequality
dc.subjectDecision making
dc.subjectElliptic fuzzy membership function
dc.titleA Novel Bivariate Elliptic Fuzzy Membership Function: A Modeling and Decision-Making Tool for Bike Sharing
dc.typeConference Object

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