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fullrecord <?xml version="1.0"?> <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><title lang="id-ID">A Review of Digital Image Classification Based on Fuzzy Logic</title><creator>Sinambela, Marzuki; Badan Meteorologi, Klimatologi dan Geofisika</creator><creator>Rahayu, Teguh; Badan Meteorologi, Klimatologi dan Geofisika</creator><creator>Darnila, Eva; Universitas Malikussaleh Lhokseumawe</creator><creator>Limbong, Tonni; Universitas Katolik Santo Thomas Medan</creator><subject lang="id-ID">Komputer</subject><subject lang="id-ID">fuzzy logic, image classification, image, computer vision.</subject><description lang="id-ID">Fuzzy logic has long been an important issue for in the field of computer science, computer vision, image processing, machine learning and control theory and mathematics. In this review paper, we also see that the basics of fuzzy logic as well as fuzzy logic system (Fuzzy Inference System) use as decision making technique under a linguistic view of fuzzy sets. In this study, we focused to review the fuzzy logic to classification of digital image. The aim of this study was to review the fuzzy logic algorithm for classification of image.</description><publisher lang="id-ID">LPPM UNIKA Santo Thomas Medan</publisher><contributor lang="id-ID">LPPM Universitas Katolik Santo Thomas Medan</contributor><date>2020-06-26</date><type>Journal:Article</type><type>Other:info:eu-repo/semantics/publishedVersion</type><type>Other:</type><type>File:application/pdf</type><type>File:application/pdf</type><identifier>http://ejournal.ust.ac.id/index.php/Jurnal_Means/article/view/704</identifier><identifier>10.17605/jmeans.v5i1.704</identifier><source lang="id-ID">MEANS (Media Informasi Analisa dan Sistem); Volume 5 Nomor 1; 37-40</source><source>2599-3089</source><source>2548-6985</source><source>10.17605/jmeans.v5i1</source><language>ind</language><relation>http://ejournal.ust.ac.id/index.php/Jurnal_Means/article/view/704/pdf12</relation><relation>http://ejournal.ust.ac.id/index.php/Jurnal_Means/article/view/704/pdf1</relation><rights lang="id-ID">##submission.copyrightStatement##</rights><recordID>article-704</recordID></dc>
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author Sinambela, Marzuki; Badan Meteorologi, Klimatologi dan Geofisika
Rahayu, Teguh; Badan Meteorologi, Klimatologi dan Geofisika
Darnila, Eva; Universitas Malikussaleh Lhokseumawe
Limbong, Tonni; Universitas Katolik Santo Thomas Medan
author2 LPPM Universitas Katolik Santo Thomas Medan
title A Review of Digital Image Classification Based on Fuzzy Logic
publisher LPPM UNIKA Santo Thomas Medan
publishDate 2020
topic Komputer
fuzzy logic
image classification
image
computer vision
url http://ejournal.ust.ac.id/index.php/Jurnal_Means/article/view/704
http://ejournal.ust.ac.id/index.php/Jurnal_Means/article/view/704/pdf12
http://ejournal.ust.ac.id/index.php/Jurnal_Means/article/view/704/pdf1
contents Fuzzy logic has long been an important issue for in the field of computer science, computer vision, image processing, machine learning and control theory and mathematics. In this review paper, we also see that the basics of fuzzy logic as well as fuzzy logic system (Fuzzy Inference System) use as decision making technique under a linguistic view of fuzzy sets. In this study, we focused to review the fuzzy logic to classification of digital image. The aim of this study was to review the fuzzy logic algorithm for classification of image.
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