Multi-criteria decision-making for coronavirus disease 2019 applications: a theoretical analysis review
The influence of the ongoing COVID-19 pandemic that is being felt in all spheres of our lives
and has a remarkable effect on global health care delivery occurs amongst the ongoing …
and has a remarkable effect on global health care delivery occurs amongst the ongoing …
Review of healthcare industry 4.0 application-based blockchain in terms of security and privacy development attributes: Comprehensive taxonomy, open issues and …
This paper has been contributed on the basis of three main goals, namely, to identify the
research gaps, challenges and open issues in the academic literature related to the …
research gaps, challenges and open issues in the academic literature related to the …
Circular economy of medical waste: novel intelligent medical waste management framework based on extension linear Diophantine fuzzy FDOSM and neural network …
Environmental pollution has been a major concern for researchers and policymakers. A
number of studies have been conducted to enquire the causes of environmental pollution …
number of studies have been conducted to enquire the causes of environmental pollution …
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 …
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 …
Integration of FDOSM and FWZIC under homogeneous Fermatean fuzzy environment: a prioritization of COVID-19 patients for mesenchymal stem cell transfusion
Mesenchymal stem cell (MSC) transfusion has shown promising results in treating COVID-
19 cases despite the limited availability of these MSCs. The task of prioritizing COVID-19 …
19 cases despite the limited availability of these MSCs. The task of prioritizing COVID-19 …
Hospital selection framework for remote MCD patients based on fuzzy q-rung orthopair environment
This research proposes a novel mobile health-based hospital selection framework for
remote patients with multi-chronic diseases based on wearable body medical sensors that …
remote patients with multi-chronic diseases based on wearable body medical sensors that …
Rough Fermatean fuzzy decision-based approach for modelling IDS classifiers in the federated learning of IoMT applications
Intrusion detection systems (IDSs) are commonly employed to mitigate network security
threats in various fields, including federated learning applications within the Internet of …
threats in various fields, including federated learning applications within the Internet of …
Towards physician's experience: Development of machine learning model for the diagnosis of autism spectrum disorders based on complex T‐spherical fuzzy …
Autism spectrum disorders (ASD) are a diverse group of conditions characterized by
difficulty with social interaction and communication. ASD is expected to be a high‐risk …
difficulty with social interaction and communication. ASD is expected to be a high‐risk …
A hybrid emergency decision-making technique based on trapezoidal fuzzy best-worst method and zero-sum game
Z Chen, D Wu, W Luo - Expert Systems with Applications, 2023 - Elsevier
This paper investigates a hybrid emergency decision-making (EDM) method called TrF-
BWM-ZSG by combining the BWM (best-worst method) and ZSG (zero-sum game) in …
BWM-ZSG by combining the BWM (best-worst method) and ZSG (zero-sum game) in …