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Ku Muhammad Naim Ku Khalif
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2020 – today
- 2024
- [j6]Ku Muhammad Naim Ku Khalif
, Woo Chaw Seng
, Alexander E. Gegov
, Ahmad Syafadhli Abu Bakar, Nur Adibah Shahrul:
Integrated Generative Adversarial Networks and Deep Convolutional Neural Networks for Image Data Classification: A Case Study for COVID-19. Inf. 15(1): 58 (2024) - 2023
- [j5]Nik Muhammad Farhan Hakim Nik Badrul Alam
, Ku Muhammad Naim Ku Khalif, Nor Izzati Jaini, Alexander E. Gegov
:
The Application of Z-Numbers in Fuzzy Decision Making: The State of the Art. Inf. 14(7): 400 (2023) - [j4]Abdul Malek Yaakob, Shahira Shafie, Alexander E. Gegov
, Siti Fatimah Abdul Rahman, Ku Muhammad Naim Ku Khalif:
Large-Scale Group Decision-Making Method Using Hesitant Fuzzy Rule-Based Network for Asset Allocation. Inf. 14(11): 588 (2023) - 2022
- [j3]Mohammad Iqbal
, Muhammad Nanda Setiawan, Mohammad Isa Irawan, Ku Muhammad Naim Ku Khalif, Noryanti Muhammad, Mohd Khairul Bazli Mohd Aziz:
Cardiovascular disease detection from high utility rare rule mining. Artif. Intell. Medicine 131: 102347 (2022) - [c9]Nik Muhammad Farhan Hakim Nik Badrul Alam
, Ku Muhammad Naim Ku Khalif, Nor Izzati Jaini:
Arithmetic Operations of Intuitionistic Z-Numbers Using Horizontal Membership Functions. SCDM 2022: 25-34 - 2020
- [j2]Ahmad Syafadhli Abu Bakar, Ku Muhammad Naim Ku Khalif, Asma Ahmad Shariff, Alexander E. Gegov, Fauzani Md Salleh:
Fuzzy risk analysis under influence of non-homogeneous preferences elicitation in fiber industry. Appl. Intell. 50(1): 157-168 (2020) - [c8]Ku Muhammad Naim Ku Khalif, Alexander E. Gegov, Ahmad Syafadhli Abu Bakar, Noor Zuraidin Mohd Safar
:
Interval Type-2 Fuzzy Multi Criteria Decision Making Based on Intuitive Multiple Centroid. SCDM 2020: 211-221 - [c7]Noor Zuraidin Mohd Safar
, David Ndzi
, Hairulnizam Mahdin, Ku Muhammad Naim Ku Khalif:
Rainfall Intensity Forecast Using Ensemble Artificial Neural Network and Data Fusion for Tropical Climate. SCDM 2020: 241-250
2010 – 2019
- 2017
- [j1]Ku Muhammad Naim Ku Khalif
, Alexander E. Gegov, Ahmad Syafadhli Abu Bakar:
Hybrid fuzzy MCDM model for Z-numbers using intuitive vectorial centroid. J. Intell. Fuzzy Syst. 33(2): 791-805 (2017) - [c6]Ku Muhammad Naim Ku Khalif, Alexander E. Gegov, Ahmad Syafadhli Abu Bakar:
Z-TOPSIS approach for performance assessment using fuzzy similarity. FUZZ-IEEE 2017: 1-6 - 2016
- [b1]Ku Muhammad Naim Ku Khalif:
Generalised hybrid fuzzy multi criteria decision making based on intuitive multiple centroid defuzzification. University of Portsmouth, UK, 2016 - 2015
- [c5]Ku Muhammad Naim Ku Khalif, Alexander E. Gegov:
Generalised Fuzzy Bayesian Network with Adaptive Vectorial Centroid. IFSA-EUSFLAT 2015 - [c4]Ku Muhammad Naim Ku Khalif, Alexander E. Gegov:
Bayesian Logistic Regression using Vectorial Centroid for Interval Type-2 Fuzzy Sets. IJCCI (FCTA) 2015: 69-79 - [c3]Abdul Malek Yaakob, Ku Muhammad Naim Ku Khalif, Alexander E. Gegov, Siti Fatimah Abdul Rahman:
Interval Type 2- Fuzzy Rule based System Approach for Selection of Alternatives using TOPSIS. IJCCI (FCTA) 2015: 112-120 - [c2]Ahmad Syafadhli Abu Bakar, Ku Muhammad Naim Ku Khalif, Alexander E. Gegov:
Ranking of Interval Type-2 Fuzzy Numbers based on Centroid Point and Spread. IJCCI (FCTA) 2015: 131-140 - [c1]Ku Muhammad Naim Ku Khalif, Alexander E. Gegov:
Implementing Adaptive Vectorial Centroid in Bayesian Logistic Regression for Interval Type-2 Fuzzy Sets. IJCCI (Selected Papers) 2015: 315-333
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last updated on 2024-08-05 20:19 CEST by the dblp team
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