Ranking of fuzzy numbers based on centroid point and spread. - Ahmad Syafadhli Abu Bakar; Alexander E. Gegov (J. Intell. Fuzzy Syst., 2014)

Intuition based Decision Methodology for Ranking Interval Type - II Fuzzy Numbers. - Ahmad Syafadhli Abu Bakar; Alexander E. Gegov (IFSA-EUSFLAT, 2015)

Ranking of Interval Type-2 Fuzzy Numbers based on Centroid Point and Spread. - Ahmad Syafadhli Abu Bakar; Ku Muhammad Naim Ku Khalif; Alexander E. Gegov (IJCCI (FCTA), 2015)

Multi-Layer Decision Methodology For Ranking Z-Numbers. - Ahmad Syafadhli Abu Bakar; Alexander E. Gegov (Int. J. Comput. Intell. Syst., 2015)

Validation of methods for ranking fuzzy numbers in decision making. - Alexander E. Gegov; Ahmad Syafadhli Abu Bakar (J. Intell. Fuzzy Syst., 2015)

Z-TOPSIS approach for performance assessment using fuzzy similarity. - Ku Muhammad Naim Ku Khalif; Alexander E. Gegov; Ahmad Syafadhli Abu Bakar (FUZZ-IEEE, 2017)

Hybrid fuzzy MCDM model for Z-numbers using intuitive vectorial centroid. - Ku Muhammad Naim Ku Khalif; Alexander E. Gegov; Ahmad Syafadhli Abu Bakar (J. Intell. Fuzzy Syst., 2017)

Interval Type-2 Fuzzy Multi Criteria Decision Making Based on Intuitive Multiple Centroid. - Ku Muhammad Naim Ku Khalif; Alexander E. Gegov; Ahmad Syafadhli Abu Bakar; Noor Zuraidin Mohd Safar (SCDM, 2020)

Fuzzy risk analysis under influence of non-homogeneous preferences elicitation in fiber industry. - Ahmad Syafadhli Abu Bakar; Ku Muhammad Naim Ku Khalif; Asma Ahmad Shariff; Alexander E. Gegov; Fauzani Md Salleh (Appl. Intell., 2020)

Clustering Stock Performance Considering Investor Preferences Using a Fuzzy Inference System. - Siti Nazifah Zainol Abidin; Saiful Hafizah Jaaman; Munira Ismail; Ahmad Syafadhli Abu Bakar (Symmetry, 2020)

Integrated Generative Adversarial Networks and Deep Convolutional Neural Networks for Image Data Classification: A Case Study for COVID-19. - Ku Muhammad Naim Ku Khalif; Woo Chaw Seng; Alexander E. Gegov; Ahmad Syafadhli Abu Bakar; Nur Adibah Shahrul (Inf., 2024)