Nishant Chauhan and Byung-Jae Choi
International Journal of Fuzzy Logic and Intelligent Systems 2020; 20(4): 255-260 https://doi.org/10.5391/IJFIS.2020.20.4.255*Keywords : Functional Magnetic Resonance Imaging (fMRI), Deep Neural Network (DNN), Attention Deficit Hyperactivity Disorder (ADHD), Independent Component Analysis (ICA), Nilearn
Seeung Oh, Younho Seong, Sun Yi, and Sangsung Park
International Journal of Fuzzy Logic and Intelligent Systems 2020; 20(4): 261-271 https://doi.org/10.5391/IJFIS.2020.20.4.261*Keywords : Trust, Mistrust, Automation, Electroencephalogram (EEG), Power spectrum
Jihad Anwar Qadir, Abdulbasit K. Al-Talabani, and Hiwa A. Aziz
International Journal of Fuzzy Logic and Intelligent Systems 2020; 20(4): 272-277 https://doi.org/10.5391/IJFIS.2020.20.4.272*Keywords : Feature extraction, Classification, One-dimensional CNN
Reza Ghasemi, Mohammad Reza Rabiei, and Ahmad Nezakati
International Journal of Fuzzy Logic and Intelligent Systems 2020; 20(4): 278-289 https://doi.org/10.5391/IJFIS.2020.20.4.278*Keywords : Fuzzy metric space, Limit theorems, Random set, Fuzzy random variable, Bootstrap mean
Warud Nakkhasen
International Journal of Fuzzy Logic and Intelligent Systems 2020; 20(4): 290-297 https://doi.org/10.5391/IJFIS.2020.20.4.290*Keywords : Ternary near-ring, Fuzzy ideal, Intuitionistic fuzzy ideal, Intuitionistic fuzzy set
Jiří Močkoř
International Journal of Fuzzy Logic and Intelligent Systems 2020; 20(4): 298-315 https://doi.org/10.5391/IJFIS.2020.20.4.298*Keywords : Fuzzy soft set, Monad powerset theory, Fuzzy soft relations
Tarasankar Pramanik, Sovan Samanta, and Madhumangal Pal
International Journal of Fuzzy Logic and Intelligent Systems 2020; 20(4): 316-323 https://doi.org/10.5391/IJFIS.2020.20.4.316*Keywords : Sum distance, Eccentricity, Interval-valued fuzzy graphs
L. Zh. Sansyzbay, B. B. Orazbayev and W. Wójcik
International Journal of Fuzzy Logic and Intelligent Systems 2020; 20(4): 324-335 https://doi.org/10.5391/IJFIS.2020.20.4.324*Keywords : Microclimate parameters, ISO 7730:2005 standard, PMV thermal comfort index, Fanger’s thermal comfort model, Fuzzy logic, Neural networks, MATLAB software package
P. Murugeswari and S. Vijayalakshmi
International Journal of Fuzzy Logic and Intelligent Systems 2020; 20(4): 336-345 https://doi.org/10.5391/IJFIS.2020.20.4.336*Keywords : CNN, FCNN, Fuzzy logic, Interval type-2 fuzzy logic, Feature extraction, Computer vision, Image classification
Jiarui Li, Yukio Horiguchi, and Tetsuo Sawaragi
International Journal of Fuzzy Logic and Intelligent Systems 2020; 20(4): 346-357 https://doi.org/10.5391/IJFIS.2020.20.4.346*Keywords : Fuzzy C-means, Clustering, Cluster size insensitivity
Overall flow of the algorithm.
|@|~(^,^)~|@|Data distribution of the input dataset.
|@|~(^,^)~|@|FCM results and peak and floor of cluster 2.
|@|~(^,^)~|@|Density center of cluster 2.
|@|~(^,^)~|@|Cluster position adjustment of cluster 2.
|@|~(^,^)~|@|Cluster shape adjustment of cluster 2.
|@|~(^,^)~|@|Final results.
|@|~(^,^)~|@|Numerical dataset with two clusters and different data distributions.
|@|~(^,^)~|@|Clustering results using the four algorithms: (a) FCM, (b) SIIB-FCM, (c) KL-FCM, and (d) CSCD-FCM.
|@|~(^,^)~|@|Comparison of the accuracy of four algorithms with various distances.
|@|~(^,^)~|@|Comparison of the F1_score of four algorithms with various distances.
|@|~(^,^)~|@|Changes in indices as cluster size decreases.
|@|~(^,^)~|@|Changes in indices as cluster size increases.