|
[1]
|
A novel integrated fuzzy DEA–artificial intelligence approach for assessing environmental efficiency and predicting CO2 emissions
Soft Computing,
2024
DOI:10.1007/s00500-023-08300-y
|
|
|
|
|
[2]
|
On the environmental performance analysis: A combined fuzzy data envelopment analysis and artificial intelligence algorithms
Expert Systems with Applications,
2023
DOI:10.1016/j.eswa.2023.119953
|
|
|
|
|
[3]
|
The Effect of Innovation Strategies on the Business Performance of Global Semiconductor Firms
SAGE Open,
2023
DOI:10.1177/21582440231201543
|
|
|
|
|
[4]
|
Current Issues in Public Utilities and Public Policy
Kobe University Monograph Series in Social Science Research,
2023
DOI:10.1007/978-981-19-7489-2_14
|
|
|
|
|
[5]
|
A novel integrated fuzzy DEA–artificial intelligence approach for assessing environmental efficiency and predicting CO2 emissions
Soft Computing,
2023
DOI:10.1007/s00500-023-08300-y
|
|
|
|
|
[6]
|
On the environmental performance analysis: A combined fuzzy data envelopment analysis and artificial intelligence algorithms
Expert Systems with Applications,
2023
DOI:10.1016/j.eswa.2023.119953
|
|
|
|
|
[7]
|
Developing and training artificial neural networks using bootstrap data envelopment analysis for best performance modeling of sawmills in Ontario
Journal of Modelling in Management,
2022
DOI:10.1108/JM2-07-2020-0181
|
|
|
|
|
[8]
|
Prediction of the efficiency in the water industry: An artificial neural network approach
Process Safety and Environmental Protection,
2022
DOI:10.1016/j.psep.2022.02.012
|
|
|
|
|
[9]
|
DEA and Machine Learning for Performance Prediction
Mathematics,
2022
DOI:10.3390/math10101776
|
|
|
|
|
[10]
|
A combined machine learning algorithms and DEA method for measuring and predicting the efficiency of Chinese manufacturing listed companies
Journal of Management Science and Engineering,
2021
DOI:10.1016/j.jmse.2020.10.001
|
|
|
|
|
[11]
|
A combined machine learning algorithms and DEA method for measuring and predicting the efficiency of Chinese manufacturing listed companies
Journal of Management Science and Engineering,
2021
DOI:10.1016/j.jmse.2020.10.001
|
|
|
|
|
[12]
|
Developing a new integrated artificial immune system and fuzzy non-discretionary DEA approach
Soft Computing,
2021
DOI:10.1007/s00500-021-05725-1
|
|
|
|
|
[13]
|
Developing a new integrated artificial immune system and fuzzy non-discretionary DEA approach
Soft Computing,
2021
DOI:10.1007/s00500-021-05725-1
|
|
|
|
|
[14]
|
Efficiency analysis for stochastic dynamic facility layout problem using meta‐heuristic, data envelopment analysis and machine learning
Computational Intelligence,
2020
DOI:10.1111/coin.12251
|
|
|
|
|
[15]
|
Supporting Better Practice Benchmarking: A DEA-ANN Approach to Bank Branch Performance Assessment
Expert Systems with Applications,
2020
DOI:10.1016/j.eswa.2020.113599
|
|
|
|
|
[16]
|
A hybrid approach based on inverse neural network to determine optimal level of energy consumption in electrical power generation
Computers & Industrial Engineering,
2019
DOI:10.1016/j.cie.2019.05.024
|
|
|
|
|
[17]
|
Artificial intelligence divulges effective tactics of top management institutes of India
Benchmarking: An International Journal,
2019
DOI:10.1108/BIJ-08-2018-0251
|
|
|
|
|
[18]
|
Efficiency analysis for stochastic dynamic facility layout problem using meta‐heuristic, data envelopment analysis and machine learning
Computational Intelligence,
2019
DOI:10.1111/coin.12251
|
|
|
|
|
[19]
|
An Improved Three-stage DEA as Business Intelligence for Benchmarking Luxury Hotels with Environmental Effect
Proceedings of the 10th International Conference on Computer Modeling and Simulation,
2018
DOI:10.1145/3177457.3177489
|
|
|
|
|
[20]
|
Intelligent Systems Design and Applications
Advances in Intelligent Systems and Computing,
2018
DOI:10.1007/978-3-319-76348-4_90
|
|
|
|
|
[21]
|
ANN embedded data envelopment analysis approach for measuring the efficiency of state boards in India
International Journal of System Assurance Engineering and Management,
2018
DOI:10.1007/s13198-018-0743-8
|
|
|
|
|
[22]
|
An Improved Three-stage DEA as Business Intelligence for Benchmarking Luxury Hotels with Environmental Effect
Proceedings of the 10th International Conference on Computer Modeling and Simulation,
2018
DOI:10.1145/3177457.3177489
|
|
|
|
|
[23]
|
Exploring the predictive potential of artificial neural networks in conjunction with DEA in railroad performance modeling
International Journal of Production Economics,
2017
DOI:10.1016/j.ijpe.2016.10.022
|
|
|
|
|
[24]
|
Road Safety Risk Evaluation Using GIS-Based Data Envelopment Analysis—Artificial Neural Networks Approach
Applied Sciences,
2017
DOI:10.3390/app7090886
|
|
|
|
|
[25]
|
Best performance modeling using complementary DEA-ANN approach
Benchmarking: An International Journal,
2016
DOI:10.1108/BIJ-09-2014-0083
|
|
|
|
|
[26]
|
Better practice prediction using neural networks: an application to the smartphone industry
Benchmarking: An International Journal,
2016
DOI:10.1108/BIJ-08-2013-0080
|
|
|
|
|
[27]
|
Applications of Management Science
Applications of Management Science,
2015
DOI:10.1108/S0276-897620140000017007
|
|
|
|
|
[28]
|
Two-stage production modeling of large U.S. banks: A DEA-neural network approach
Expert Systems with Applications,
2015
DOI:10.1016/j.eswa.2015.04.062
|
|
|
|
|
[29]
|
Performance modeling of mobile phone providers: a DEA-ANN combined approach
Benchmarking: An International Journal,
2014
DOI:10.1108/BIJ-01-2013-0016
|
|
|
|
|
[30]
|
Decision Making Algorithms for Hydro-Power Plant Location
SpringerBriefs in Energy,
2013
DOI:10.1007/978-981-4451-63-5_4
|
|
|
|
|
[31]
|
Decision Making Algorithms for Hydro-Power Plant Location
SpringerBriefs in Energy,
2013
DOI:10.1007/978-981-4451-63-5_4
|
|
|
|