Based on the multi-assessment model: towards a new context of combining the artificial neural network and structural equation modelling: a review

AS Albahri, A Alnoor, AA Zaidan, OS Albahri… - Chaos, Solitons & …, 2021 - Elsevier
Theoretical models have become increasingly complex, but the dual-phase structural
equation modelling (SEM) and artificial neural network analysis can be used by scholars to …

A Systematic Review of Using Deep Learning Technology in the Steady‐State Visually Evoked Potential‐Based Brain‐Computer Interface Applications: Current …

AS Albahri, ZT Al-Qaysi, L Alzubaidi… - … of Telemedicine and …, 2023 - Wiley Online Library
The significance of deep learning techniques in relation to steady‐state visually evoked
potential‐(SSVEP‐) based brain‐computer interface (BCI) applications is assessed through …

[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 …

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] 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 …

Integration of fuzzy-weighted zero-inconsistency and fuzzy decision by opinion score methods under a q-rung orthopair environment: a distribution case study of …

AS Albahri, OS Albahri, AA Zaidan, A Alnoor… - Computer Standards & …, 2022 - Elsevier
Owing to the limitations of Pythagorean fuzzy and intuitionistic fuzzy sets, scientists have
developed a distinct and successive fuzzy set called the q-rung orthopair fuzzy set (q …

Interval type 2 trapezoidal‐fuzzy weighted with zero inconsistency combined with VIKOR for evaluating smart e‐tourism applications

E Krishnan, R Mohammed, A Alnoor… - … Journal of Intelligent …, 2021 - Wiley Online Library
The benchmarking of smart e‐tourism data management applications falls under the
problem of multicriteria decision‐making (MCDM). This claim is supported by three issues …

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 …

New extension of fuzzy-weighted zero-inconsistency and fuzzy decision by opinion score method based on cubic pythagorean fuzzy environment: a benchmarking …

AH Alamoodi, OS Albahri, AA Zaidan… - International Journal of …, 2022 - Springer
Many of the current fuzzy sets based on intuitionistic fuzzy concepts suffer from different
limitations. Different approaches towards that end in the form of scientific works have been …

A new extension of FDOSM based on Pythagorean fuzzy environment for evaluating and benchmarking sign language recognition systems

MS Al-Samarraay, MM Salih, MA Ahmed… - Neural Computing and …, 2022 - Springer
Many studies have recently developed real-time sign language recognition system (SLRS)-
based DataGlove wearable electronic devices for deaf and dumb to assort hand gestures as …