A Numerical Method for Integration of a Fuzzy Function Over a Fuzzy Interval

dc.contributor.author Temelcan, G.T.
dc.contributor.author Gonce Kocken, H.
dc.contributor.author Albayrak, I.
dc.date.accessioned 2026-01-30T14:56:09Z
dc.date.available 2026-01-30T14:56:09Z
dc.date.issued 2022
dc.description.abstract A numerical method is presented for evaluating the integration of a fuzzy function (FF) over a fuzzy interval (FI) by combining the integration methods proposed by Zimmerman, which is known as the fuzzy Riemann integral (FRI) of type-II. In this study, monotonic increasing (or nondecreasing) nonnegative continuous FFs are considered for integration. In the proposed method, first, a fuzzy-valued function (FvF) is induced by a real-valued function (RvF) via extension principle and then each component of the triangular fuzzy valued-function, which is a RvF, is determined as a triangular fuzzy number (TFN) by integrating over the FI. The left and right components of fuzzy integral value are determined from the TFNs obtained by taking the minimum of the left components and the maximum of right components, and the middle component is provided using a ranking function. Some numerical examples are given to explain the methodology. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. en_US
dc.identifier.doi 10.1007/978-3-030-85626-7_34
dc.identifier.isbn 9789819652372
dc.identifier.isbn 9783031931055
dc.identifier.isbn 9789819662968
dc.identifier.isbn 9783031999963
dc.identifier.isbn 9783031950162
dc.identifier.isbn 9783031947698
dc.identifier.isbn 9783032004406
dc.identifier.isbn 9783031910074
dc.identifier.isbn 9783032083807
dc.identifier.isbn 9783032077172
dc.identifier.issn 2367-3370
dc.identifier.issn 2367-3370
dc.identifier.scopus 2-s2.0-85115048915
dc.identifier.uri https://doi.org/10.1007/978-3-030-85626-7_34
dc.identifier.uri https://acikerisim2.beykoz.edu.tr/handle/123456789/251
dc.language.iso en en_US
dc.publisher Springer Science and Business Media Deutschland GmbH en_US
dc.relation.ispartof Lecture Notes in Networks and Systems -- International Conference on Intelligent and Fuzzy Systems, INFUS 2021 -- 2021-08-24 Through 2021-08-26 -- Istanbul -- 264409 en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Extension Principle en_US
dc.subject Fuzzy Function en_US
dc.subject Fuzzy Integral en_US
dc.subject Triangular Fuzzy Number en_US
dc.title A Numerical Method for Integration of a Fuzzy Function Over a Fuzzy Interval en_US
dc.type Conference Object en_US
dspace.entity.type Publication
gdc.author.scopusid 57205142491
gdc.author.scopusid 55916232200
gdc.author.scopusid 25025928900
gdc.description.department Beykoz University en_US
gdc.description.departmenttemp [Temelcan] Gizem, Department of Computer Engineering, Beykoz Üniversitesi, Istanbul, Turkey; [Gonce Kocken] Hale Gonce, Department of Mathematical Engineering, Yıldız Teknik Üniversitesi, Istanbul, Turkey; [Albayrak] Inci, Department of Mathematical Engineering, Yıldız Teknik Üniversitesi, Istanbul, Turkey en_US
gdc.description.endpage 288 en_US
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q4
gdc.description.startpage 281 en_US
gdc.description.volume 307 en_US
gdc.description.wosquality N/A
gdc.index.type Scopus

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