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dc.contributor.authorDemirtaş Tozlu, Naimeen_US
dc.contributor.authorDalkılıç, Orhanen_US
dc.date.accessioned2021-01-27T11:11:19Z
dc.date.available2021-01-27T11:11:19Z
dc.date.issued2021
dc.identifier.citationDemirtaş Tozlu, N. & Dalkılıç, O. (2021). Consistency measurement using the artificial neural network of the results obtained with fuzzy topsis method for the diagnosis of prostate cancer. TWMS Journal of Applied and Engineering Mathematics, 11(1), 237-249.en_US
dc.identifier.issn2146-1147en_US
dc.identifier.issn2587-1013en_US
dc.identifier.urihttp://belgelik.isikun.edu.tr/xmlui/handle/iubelgelik/3067
dc.identifier.urihttp://jaem.isikun.edu.tr/web/index.php/archive/110-vol11-no1/680
dc.description.abstractIn recent years great attention has been paid to studies on artificial intelligence since it can be applied easily to several areas like medical diagnosis, engineering and economics, among others. In this paper we present an example in medicine which aims to diagnose the patients with high prostate cancer risk using a multi-criteria decision making method.Our datas set is prostate specific antigen (PSA), free prostate specific antigen (fPSA), prostate volume (PV) and age factors of 78 patients from Necmettin Erbakan University Meram Medicine Faculty. An artificial neural network related to the consistency of convergence coefficients calculated by the Fuzzy TOPSIS method [32] is established.Thus, we understand the accuracy of the results from the Fuzzy TOPSIS method.en_US
dc.language.isoenen_US
dc.publisherIşık University Pressen_US
dc.relation.ispartofTWMS Journal of Applied and Engineering Mathematicsen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectArtificial neural networken_US
dc.subjectMulti-criteria decision makingen_US
dc.subjectProstate canceren_US
dc.subjectFuzzy TOPSIS methoden_US
dc.titleConsistency measurement using the artificial neural network of the results obtained with fuzzy topsis method for the diagnosis of prostate canceren_US
dc.typeArticleen_US
dc.description.versionPublisher's Versionen_US
dc.identifier.volume11
dc.identifier.issue1
dc.identifier.startpage237
dc.identifier.endpage249
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Başka Kurum Yazarıen_US


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