[HTML][HTML] A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016
In recent years there has been an exponential growth in the number of publications related
to theory and applications of Data Envelopment Analysis (DEA). Charnes, Cooper, and …
to theory and applications of Data Envelopment Analysis (DEA). Charnes, Cooper, and …
Neural network applications in fault diagnosis and detection: an overview of implementations in engineering-related systems
The use of artificial neural networks (ANN) in fault detection analysis is widespread. This
paper aims to provide an overview on its application in the field of fault identification and …
paper aims to provide an overview on its application in the field of fault identification and …
Super efficiency SBM-DEA and neural network for performance evaluation
The traditional data envelopment analysis (DEA) method used for performance evaluation
has inherent problems such as being easily affected by statistical noise in data. Furthermore …
has inherent problems such as being easily affected by statistical noise in data. Furthermore …
Using DEA-neural network approach to evaluate branch efficiency of a large Canadian bank
In today's economy and society, the banking industry is of great importance to every one of
us. We all depend on the efficiency and quality of services that the banking industry …
us. We all depend on the efficiency and quality of services that the banking industry …
Bank efficiency estimation in China: DEA-RENNA approach
The current study proposes a new DEA model to evaluate the efficiency of 39 Chinese
commercial banks over the period 2010–2018. The paper also, in the second stage …
commercial banks over the period 2010–2018. The paper also, in the second stage …
Supporting better practice benchmarking: A DEA-ANN approach to bank branch performance assessment
IE Tsolas, V Charles, T Gherman - Expert Systems with Applications, 2020 - Elsevier
The quest for best practices may lead to an increased risk of poor decision-making,
especially when aiming to attain best practice levels reveals that efforts are beyond the …
especially when aiming to attain best practice levels reveals that efforts are beyond the …
[HTML][HTML] Analysis of neural networks used by artificial intelligence in the energy transition with renewable energies
ÍM Iglesias-Sanfeliz Cubero, A Meana-Fernández… - Applied Sciences, 2023 - mdpi.com
Highlights The application of different types of RNA is very effective in the energy transition.
ANNs are a very effective/useful tool in the fight against climate change. High capacity of …
ANNs are a very effective/useful tool in the fight against climate change. High capacity of …
Cost efficiency of Chinese banks: Evidence from DEA and MLP-SSRP analysis
Our study contributes to the empirical literature in two ways: 1) We propose an innovative
Data Envelopment Analysis (DEA) model to estimate the cost efficiency of Chinese banks; 2) …
Data Envelopment Analysis (DEA) model to estimate the cost efficiency of Chinese banks; 2) …
Unveiling endogeneity between competition and efficiency in Chinese banks: A two-stage network DEA and regression analysis
Although there is a growing number of research articles investigating the performance in the
banking industry, research on Chinese banking efficiency is rather focused on discussing …
banking industry, research on Chinese banking efficiency is rather focused on discussing …
Productivity analysis in the service sector with data envelopment analysis
NK Avkiran - Available at SSRN 2627576, 2006 - papers.ssrn.com
Throughout the book, my colleagues and I have endeavored to address the DEA theory
needed by the end-users, key model design issues, correct interpretation of DEA results …
needed by the end-users, key model design issues, correct interpretation of DEA results …