[PDF][PDF] A review on multi-criteria decision-making and its application
Abstract Capable of Multi-Scale Decision Making (MCDM), it improves all areas of decision-
making engineering from design production, but is also highly applicable to applications in …
making engineering from design production, but is also highly applicable to applications in …
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 …
Assessment of the blockchain technology adoption for the management of the electronic health record systems
Blockchain has applications in a broad range of settings, including healthcare (eg, patient
data management, health supply chain management, financial and insurance claims, and …
data management, health supply chain management, financial and insurance claims, and …
Research agenda on multiple-criteria Decision-making: new academic debates in business and management
F Castelló-Sirvent, C Meneses-Eraso - Axioms, 2022 - mdpi.com
Systemic disruptions are becoming more continuous, intense, and persistent. Their effects
have a severe impact on the economy in volatile, uncertain, complex, and ambiguous …
have a severe impact on the economy in volatile, uncertain, complex, and ambiguous …
A project prioritization approach considering uncertainty, reliability, criteria prioritization, and robustness
Given the limitation of resources in organizations (time, money, staff, material, etc.), deciding
which projects should be given priority–among many competing projects–is a constant and …
which projects should be given priority–among many competing projects–is a constant and …
[HTML][HTML] An efficiency curve for evaluating imbalanced classifiers considering intrinsic data characteristics: Experimental analysis
Balancing the accuracy rates of the majority and minority classes is challenging in
imbalanced classification. Furthermore, data characteristics have a significant impact on the …
imbalanced classification. Furthermore, data characteristics have a significant impact on the …
A fuzzy based hybrid decision-making framework to examine the safety risk factors of healthcare workers during COVID-19 outbreak
The consciousness of safety risk factors and the emergence of WHO guidelines for the
preparedness of health care workers have pushed the health care systems to take proactive …
preparedness of health care workers have pushed the health care systems to take proactive …
Evaluating differences in the Level of Working Conditions between the European Union Member States using TOPSIS method
Work, which is a conscious activity of man, plays an immensely important role in their life
and is the basis for the development of civilization. The work process is closely related to the …
and is the basis for the development of civilization. The work process is closely related to the …
Genetic Algorithm-enhanced Rank aggregation model to measure the performance of Pulp and Paper Industries
Performance measurement is a complex but important task required in all sectors. The
problem however arises when usage of different methods for performance assessment …
problem however arises when usage of different methods for performance assessment …
A new approach for fuzzy classification by a multiple-attribute decision-making model
In this paper, we suggest a new classifier using a multiple-attribute decision-making (MADM)
model for fuzzy classification. First, we form a decision-making matrix. Its elements are …
model for fuzzy classification. First, we form a decision-making matrix. Its elements are …