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dc.contributor.authorMitsuishi, Takashi-
dc.date.accessioned2023-10-09T12:19:51Z-
dc.date.available2023-10-09T12:19:51Z-
dc.date.issued2023-
dc.identifier.citationFormalized Mathematics, Volume 31, Issue 1, Pages 59-66pl
dc.identifier.issn1426-2630-
dc.identifier.urihttp://hdl.handle.net/11320/15406-
dc.description.abstractSince isosceles triangular and trapezoidal membership functions [4] are easy to manage, they were applied to various fuzzy approximate reasoning [10], [13], [14]. The centroids of isosceles triangular and trapezoidal membership functions are mentioned in this article [16], [9] and formalized in [11] and [12]. Some propositions of the composition mapping (f +· g, or f +* g using Mizar formalism, where f, g are affine mappings), are proved following [3], [15]. Then different notations for the same isosceles triangular and trapezoidal membership function are formalized. We proved the agreement of the same function expressed with different parameters and formalized those centroids with parameters. In addition, various properties of membership functions on intervals where the endpoints of the domain are fixed and on general intervals are formalized in Mizar [1], [2]. Our formal development contains also some numerical results which can be potentially useful to encode either fuzzy numbers [7], or even fuzzy implications [5], [6] and extends the possibility of building hybrid rough-fuzzy approach in the future [8].pl
dc.language.isoenpl
dc.publisherDeGruyter Openpl
dc.rightsAttribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)pl
dc.rights.urihttps://creativecommons.org/licenses/by-sa/3.0/pl
dc.subjectdefuzzificationpl
dc.subjectcentroid methodpl
dc.subjectisosceles triangular functionpl
dc.subjectisosceles trapezoidal functionpl
dc.titleIsosceles Triangular and Isosceles Trapezoidal Membership Functions Using Centroid Methodpl
dc.typeArticlepl
dc.rights.holder© 2023 The Author(s)pl
dc.rights.holderCC BY-SA 3.0 licensepl
dc.identifier.doi10.2478/forma-2023-0006-
dc.description.AffiliationFaculty of Business and Informatics, Nagano University, Japanpl
dc.description.referencesGrzegorz Bancerek, Czesław Byliński, Adam Grabowski, Artur Korniłowicz, Roman Matuszewski, Adam Naumowicz, Karol Pąk, and Josef Urban. Mizar: State-of-the-art and beyond. In Manfred Kerber, Jacques Carette, Cezary Kaliszyk, Florian Rabe, and Volker Sorge, editors, Intelligent Computer Mathematics, volume 9150 of Lecture Notes in Computer Science, pages 261–279. Springer International Publishing, 2015. ISBN 978-3-319-20614-1. doi:10.1007/978-3-319-20615-8_17.pl
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dc.description.referencesTakashi Mitsuishi. Definition of centroid method as defuzzification. Formalized Mathematics, 30(2):125–134, 2022. doi:10.2478/forma-2022-0010.pl
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dc.identifier.eissn1898-9934-
dc.description.volume31pl
dc.description.issue1pl
dc.description.firstpage59pl
dc.description.lastpage66pl
dc.identifier.citation2Formalized Mathematicspl
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