[HTML][HTML] Operational research and artificial intelligence methods in banking
Banking is a popular topic for empirical and methodological research that applies
operational research (OR) and artificial intelligence (AI) methods. This article provides a …
operational research (OR) and artificial intelligence (AI) methods. This article provides a …
[HTML][HTML] A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016
A Emrouznejad, G Yang - Socio-economic planning sciences, 2018 - Elsevier
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 …
Market segmentation using high-dimensional sparse consumers data
J Zhou, L Zhai, AA Pantelous - Expert Systems with Applications, 2020 - Elsevier
Good segmentation contributes towards a better understanding of the market and customer
demands. This study aims to develop a new methodological approach, integrating …
demands. This study aims to develop a new methodological approach, integrating …
Benchmarking in wastewater treatment plants: a tool to save operational costs
M Molinos-Senante, F Hernandez-Sancho… - Clean Technologies and …, 2014 - Springer
The economics of wastewater management and treatment is the subject of growing interest
by water agencies and wastewater treatment plant (WWTP) operators. Benchmarking …
by water agencies and wastewater treatment plant (WWTP) operators. Benchmarking …
Z-ERM DEA integrated approach for evaluation of banks & financial institutes in stock exchange
A Mohtashami, BM Ghiasvand - Expert Systems with Applications, 2020 - Elsevier
The purpose of this study is to evaluate efficiency and effectiveness of banks, financial and
credit institutes active in stock and super-stock exchange organizations using new Fuzzy …
credit institutes active in stock and super-stock exchange organizations using new Fuzzy …
Increasing the discriminatory power of DEA using Shannon's entropy
Q Xie, Q Dai, Y Li, A Jiang - Entropy, 2014 - mdpi.com
In many data envelopment analysis (DEA) applications, the analyst always confronts the
difficulty that the selected data set is not suitable to apply traditional DEA models for their …
difficulty that the selected data set is not suitable to apply traditional DEA models for their …
Evaluation of relative impact of aerosols on photovoltaic cells through combined Shannon's entropy and Data Envelopment Analysis (DEA)
One of the biggest challenge before the world today is to find a trade-off between high
energy demand and mitigation of greenhouse gas emissions. Researchers and energy …
energy demand and mitigation of greenhouse gas emissions. Researchers and energy …
Impact of knowledge management performance on the efficiency of R&D active firms: Evidence from Turkey
This study addresses to investigate the impact of the knowledge management (KM)
performance on the efficiencies of 20 R&D active firms in manufacture of parts and …
performance on the efficiencies of 20 R&D active firms in manufacture of parts and …
China's regional vulnerability to drought and its mitigation strategies under climate change: data envelopment analysis and analytic hierarchy process integrated …
Climate change may make extreme droughts more frequent with heavy economic losses in
China. Thus, this study aims to evaluate China's regional vulnerability to drought and …
China. Thus, this study aims to evaluate China's regional vulnerability to drought and …
Measuring the performance of thermal power firms in China via fuzzy Enhanced Russell measure model with undesirable outputs
Thermal power has accounted for the major part of the electricity generation over recent
several decades in China. It plays an important role in supporting China's economic …
several decades in China. It plays an important role in supporting China's economic …