The International Journal of Fuzzy Logic and Intelligent Systems (pISSN 1598-2645, eISSN 2093-744X) is published quarterly by the Korean Institute of Intelligent Systems. The official title of the journal is International Journal of Fuzzy Logic and Intelligent Systems and the abbreviated title is Int. J. Fuzzy Log. Intell. Syst. Some, or all, of the articles in the journal are indexed in SCOPUS, Korea Citation Index (KCI), DOI/CrossrRef, DBLP, and Google Scholar, and Emerging Sources Citation Index (ESCI).
The journal was launched in 2001 and dedicated to the dissemination of well-defined theoretical and empirical studies results that have a potential impact on the realization of intelligent systems based on fuzzy logic and intelligent systems theory. Specific topics include, but are not limited to: a) computational intelligence techniques including fuzzy logic systems, neural networks and evolutionary computation; b) intelligent control, instrumentation and robotics; c) adaptive signal and multimedia processing; d) intelligent information processing including pattern recognition and information processing; e) machine learning and smart systems including data mining and intelligent service practices; f) fuzzy theory and its applications.
Nishant Chauhan and Byung-Jae ChoiInternational Journal of Fuzzy Logic and Intelligent Systems 2020;20: 255-260 https://doi.org/10.5391/IJFIS.2020.20.4.255
Seeung Oh, Younho Seong, Sun Yi, and Sangsung ParkInternational Journal of Fuzzy Logic and Intelligent Systems 2020;20: 261-271 https://doi.org/10.5391/IJFIS.2020.20.4.261
Mutaz Al-TarawnehInternational Journal of Fuzzy Logic and Intelligent Systems 2021;21: 101-122
Igor V. Arinichev, Sergey V. Polyanskikh, Galina V. Volkova, and Irina V. ArinichevaInternational Journal of Fuzzy Logic and Intelligent Systems 2021;21: 1-11
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CNN’s models accuracy curves during the 100-epoch training process.|@|~(^,^)~|@|
ROC curves for predictions of each class by the DenseNet model.|@|~(^,^)~|@|
Error matrix for the best model - DenseNet.