The applications of MCDM methods in COVID-19 pandemic: A state of the art review
A Sotoudeh-Anvari - Applied Soft Computing, 2022 - Elsevier
Likened to the economic calamity of World War Two, the COVID-19 pandemic has sparked
fears of a deep economic crisis, killed more than six million people worldwide and had a …
fears of a deep economic crisis, killed more than six million people worldwide and had a …
A Systematic Review of Using Deep Learning Technology in the Steady‐State Visually Evoked Potential‐Based Brain‐Computer Interface Applications: Current …
The significance of deep learning techniques in relation to steady‐state visually evoked
potential‐(SSVEP‐) based brain‐computer interface (BCI) applications is assessed through …
potential‐(SSVEP‐) based brain‐computer interface (BCI) applications is assessed through …
[HTML][HTML] Multi-perspective evaluation of integrated active cooling systems using fuzzy decision making model
As global median temperatures continue to rise, the demand for active cooling systems
(ACs) is increasing. These systems are particularly prevalent in developed countries for …
(ACs) is increasing. These systems are particularly prevalent in developed countries for …
Based on neutrosophic fuzzy environment: a new development of FWZIC and FDOSM for benchmarking smart e-tourism applications
The task of benchmarking smart e-tourism applications based on multiple smart key concept
attributes is considered a multi-attribute decision-making (MADM) problem. Although the …
attributes is considered a multi-attribute decision-making (MADM) problem. Although the …
Federated learning for IoMT applications: A standardization and benchmarking framework of intrusion detection systems
Efficient evaluation for machine learning (ML)-based intrusion detection systems (IDSs) for
federated learning (FL) in the Internet of Medical Things (IoMTs) environment falls under the …
federated learning (FL) in the Internet of Medical Things (IoMTs) environment falls under the …
MCDM and various prioritization methods in AHP for CSS: A comprehensive review
Availability and diversity of cloud service providers (CSPs) had put the users into confusion
for its selection of the appropriate service providers. Some cloud service providers are good …
for its selection of the appropriate service providers. Some cloud service providers are good …
New extension of fuzzy-weighted zero-inconsistency and fuzzy decision by opinion score method based on cubic pythagorean fuzzy environment: a benchmarking …
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 …
limitations. Different approaches towards that end in the form of scientific works have been …
Review of artificial neural networks-contribution methods integrated with structural equation modeling and multi-criteria decision analysis for selection customization
This study presents a review of literature on the usage of artificial neural networks (ANNs)
architecture contribution method and structural equation modeling (SEM), and proposes a …
architecture contribution method and structural equation modeling (SEM), and proposes a …
Multi-attribute decision-making for intrusion detection systems: A systematic review
Intrusion detection systems (IDSs) employ sophisticated security techniques to detect
malicious activities on hosts and/or networks. IDSs have been utilized to ensure the security …
malicious activities on hosts and/or networks. IDSs have been utilized to ensure the security …
Extension of interval-valued Pythagorean FDOSM for evaluating and benchmarking real-time SLRSs based on multidimensional criteria of hand gesture recognition …
Several DataGlove wearable electronic devices based on real-time Sign Language
Recognition Systems (SLRSs) have been developed recently to assist the deaf and dumb …
Recognition Systems (SLRSs) have been developed recently to assist the deaf and dumb …