[HTML][HTML] Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking …

OS Albahri, AA Zaidan, AS Albahri, BB Zaidan… - Journal of infection and …, 2020‏ - Elsevier
This study presents a systematic review of artificial intelligence (AI) techniques used in the
detection and classification of coronavirus disease 2019 (COVID-19) medical images in …

A systematic literature review of fuzzy-weighted zero-inconsistency and fuzzy-decision-by-opinion-score-methods: assessment of the past to inform the future

YR Muhsen, NA Husin, MB Zolkepli… - Journal of Intelligent & …, 2023‏ - content.iospress.com
Abstract The Fuzzy-Weighted Zero-Inconsistency (FWZIC) and Fuzzy-Decision-by-Opinion-
Score-Method (FDOSM) are considered the recent advance methods. FDOSM generates a …

[HTML][HTML] Evaluation of agriculture-food 4.0 supply chain approaches using Fermatean probabilistic hesitant-fuzzy sets based decision making model

S Qahtan, HA Alsattar, AA Zaidan, M Deveci… - Applied Soft …, 2023‏ - Elsevier
The benchmarking of agri-food 4.0 supply chain (Agri4SC) falls under the multiple criteria
problem in supply chain visibility (SCV) and supply chain resource integration (SCRI) for …

Opinion weight criteria method (OWCM): a new method for weighting criteria with zero inconsistency

ADA Mandil, MM Salih, YR Muhsen - IEEE access, 2024‏ - ieeexplore.ieee.org
Determining criteria weights is a frequent issue in multi-criteria decision-making (MCDM)
techniques. The weight given to various criteria can have a significant impact on a decision's …

Novel multi security and privacy benchmarking framework for blockchain-based IoT healthcare industry 4.0 systems

S Qahtan, KY Sharif, AA Zaidan… - IEEE Transactions …, 2022‏ - ieeexplore.ieee.org
The evaluation, importance and variation nature of multiple security and privacy properties
are the main issues that make the benchmarking of blockchain-based IoT healthcare …

Benchmarking methodology for selection of optimal COVID-19 diagnostic model based on entropy and TOPSIS methods

MA Mohammed, KH Abdulkareem, AS Al-Waisy… - Ieee …, 2020‏ - ieeexplore.ieee.org
Nowadays, coronavirus (COVID-19) is getting international attention due it considered as a
life-threatened epidemic disease that hard to control the spread of infection around the …

Dynamic decision-making framework for benchmarking brain–computer interface applications: a fuzzy-weighted zero-inconsistency method for consistent weights and …

ZT Al-qaysi, AS Albahri, MA Ahmed… - Neural Computing and …, 2024‏ - Springer
Benchmarking brain–computer interface (BCI) applications, considering all available smart
training environment (STE) criteria, is a challenging task due to the following issues …

[HTML][HTML] Based on T-spherical fuzzy environment: a combination of FWZIC and FDOSM for prioritising COVID-19 vaccine dose recipients

MA Alsalem, HA Alsattar, AS Albahri… - Journal of infection and …, 2021‏ - Elsevier
The problem complexity of multi-criteria decision-making (MCDM) has been raised in the
distribution of coronavirus disease 2019 (COVID-19) vaccines, which required solid and …

Determining importance of many-objective optimisation competitive algorithms evaluation criteria based on a novel fuzzy-weighted zero-inconsistency method

RT Mohammed, AA Zaidan, R Yaakob… - … Journal of Information …, 2022‏ - World Scientific
Along with the developments of numerous MaOO algorithms in the last decades, comparing
the performance of MaOO algorithms with one another is also highly needed. Many studies …

[HTML][HTML] Novel dynamic fuzzy decision-making framework for COVID-19 vaccine dose recipients

OS Albahri, AA Zaidan, AS Albahri, HA Alsattar… - Journal of advanced …, 2022‏ - Elsevier
Introduction The vaccine distribution for the COVID-19 is a multicriteria decision-making
(MCDM) problem based on three issues, namely, identification of different distribution …