Ku Muhammad Naim Ku Khalif

Orcid: 0000-0003-0501-0737

According to our database1, Ku Muhammad Naim Ku Khalif authored at least 16 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Bibliography

2024
Integrated Generative Adversarial Networks and Deep Convolutional Neural Networks for Image Data Classification: A Case Study for COVID-19.
Inf., 2024

2023
Large-Scale Group Decision-Making Method Using Hesitant Fuzzy Rule-Based Network for Asset Allocation.
Inf., 2023

The Application of Z-Numbers in Fuzzy Decision Making: The State of the Art.
Inf., 2023

2022
Cardiovascular disease detection from high utility rare rule mining.
Artif. Intell. Medicine, 2022

Arithmetic Operations of Intuitionistic Z-Numbers Using Horizontal Membership Functions.
Proceedings of the Recent Advances in Soft Computing and Data Mining, 2022

2020
Fuzzy risk analysis under influence of non-homogeneous preferences elicitation in fiber industry.
Appl. Intell., 2020

Rainfall Intensity Forecast Using Ensemble Artificial Neural Network and Data Fusion for Tropical Climate.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2020

Interval Type-2 Fuzzy Multi Criteria Decision Making Based on Intuitive Multiple Centroid.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2020

2017
Hybrid fuzzy MCDM model for Z-numbers using intuitive vectorial centroid.
J. Intell. Fuzzy Syst., 2017

Z-TOPSIS approach for performance assessment using fuzzy similarity.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016
Generalised hybrid fuzzy multi criteria decision making based on intuitive multiple centroid defuzzification.
PhD thesis, 2016

2015
Interval Type 2- Fuzzy Rule based System Approach for Selection of Alternatives using TOPSIS.
Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015), 2015

Implementing Adaptive Vectorial Centroid in Bayesian Logistic Regression for Interval Type-2 Fuzzy Sets.
Proceedings of the Computational Intelligence - International Joint Conference, 2015

Bayesian Logistic Regression using Vectorial Centroid for Interval Type-2 Fuzzy Sets.
Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015), 2015

Ranking of Interval Type-2 Fuzzy Numbers based on Centroid Point and Spread.
Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015), 2015

Generalised Fuzzy Bayesian Network with Adaptive Vectorial Centroid.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015


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