A Review of Digital Image Classification Based on Fuzzy Logic
Author(s) -
Marzuki Sinambela,
Teguh Rahayu,
Eva Darnila,
Tonni Limbong
Publication year - 2020
Publication title -
means (media informasi analisa dan sistem)
Language(s) - English
Resource type - Journals
eISSN - 2599-3089
pISSN - 2548-6985
DOI - 10.54367/means.v5i1.704
Subject(s) - fuzzy logic , artificial intelligence , fuzzy electronics , fuzzy classification , adaptive neuro fuzzy inference system , defuzzification , fuzzy set operations , computer science , neuro fuzzy , fuzzy associative matrix , fuzzy control language , fuzzy number , fuzzy control system , mathematics , fuzzy set
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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