Modern Economy

Modern Economy

ISSN Print: 2152-7245
ISSN Online: 2152-7261
www.scirp.org/journal/me
E-mail: me@scirp.org
"A Comparison of Three-Stage DEA and Artificial Neural Network on the Operational Efficiency of Semi-Conductor Firms in Taiwan"
written by Hsiang-Hsi Liu, Tser-Yieth Chen, Yung-Ho Chiu, Fu-Hsiang Kuo,
published by Modern Economy, Vol.4 No.1, 2013
has been cited by the following article(s):
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[1] A novel integrated fuzzy DEA–artificial intelligence approach for assessing environmental efficiency and predicting CO2 emissions
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[2] Study on the Spatiotemporal Evolution of Urban Land Use Efficiency in the Beijing–Tianjin–Hebei Region
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[3] Technical Efficiency Evaluation of Maize Production in Ghana: An Application of Three-Stage Data Envelopment Analysis
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[4] Evaluating the Institutional Reforms and Private Participation in Japanese Container Ports—Evidence from Multi-stage DEA Analysis
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[5] The Effect of Innovation Strategies on the Business Performance of Global Semiconductor Firms
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[6] Presenting a predictive benchmark model of after-sales service agencies for vehicles based on the data envelopment analysis approach
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[7] AB ülkelerinin çevre ve atık yönetimi performanslarının değerlendirilmesi: Veri zarflama analizi ve yapay sinir ağlarının birlikte uygulanması
Gümüşhane Üniversitesi Sosyal Bilimler Dergisi, 2023
[8] Yapay sinir ağları destekli etkinlik ölçümü: Veri zarflama analizi üzerine uygulamalar
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[9] On the environmental performance analysis: a combined fuzzy data envelopment analysis and artificial intelligence algorithms
Expert Systems with …, 2023
[10] Data envelopment analysis model and benchmarking in a hierarchical structure with dependent parameters
International Journal of …, 2022
[11] Prediction of the efficiency in the water industry: An artificial neural network approach
Senante, A Maziotis - Process Safety and Environmental …, 2022
[12] DEA and Machine Learning for Performance Prediction
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[13] The Studies on Efficiency Analysis in Applied Economics Using a Three-Stage Data Envelopment Analysis
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[14] Developing and training artificial neural networks using bootstrap data envelopment analysis for best performance modeling of sawmills in Ontario
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[15] Developing a new integrated artificial immune system and fuzzy non-discretionary DEA approach
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[16] Analysing Bank Efficiency Incorporating Internal Risks: A Case of Jordan
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[17] Some Objective Methods for Determining Relative Importance of Financial Ratios
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[18] Supporting Better Practice Benchmarking: A DEA-ANN Approach to Bank Branch Performance Assessment
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[19] A combined machine learning algorithms and DEA method for measuring and predicting the efficiency of Chinese manufacturing listed companies
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[20] Artificial intelligence divulges effective tactics of top management institutes of India
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[21] A hybrid approach based on inverse neural network to determine optimal level of energy consumption in electrical power generation
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[22] THE PREDICTION OF FINANCIAL PERFORMANCE OF BANKS USING ARTIFICIAL NEURAL NETWORK
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[23] Efficiency analysis for stochastic dynamic facility layout problem using meta‐heuristic, data envelopment analysis and machine learning
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[24] An Improved Three-stage DEA as Business Intelligence for Benchmarking Luxury Hotels with Environmental Effect
ICCMS 2018 Proceedings of the 10th International Conference on Computer Modeling and Simulation, 2018
[25] ANN embedded data envelopment analysis approach for measuring the efficiency of state boards in India
International Journal of System Assurance Engineering and Management, 2018
[26] Efficiency Evaluation through Slack-Based Measure in Data Envelopment Analysis
2017
[27] Exploring the predictive potential of artificial neural networks in conjunction with DEA in railroad performance modeling
International Journal of Production Economics, 2017
[28] Road Safety Risk Evaluation Using GIS-Based Data Envelopment Analysis—Artificial Neural Networks Approach
Applied Sciences, 2017
[29] Evaluating the Efficiency of Higher Secondary Education State Boards in India: A DEA-ANN Approach
Intelligent Systems Design and Applications, 2017
[30] 結合資料採礦技術與貝氏信賴網路估計台灣積體電路設計公司之績效
臺灣交通大學學位論文, 2016
[31] Best performance modeling using complementary DEA-ANN approach: application to Japanese electronics manufacturing firms
Benchmarking: An International Journal, 2016
[32] Better practice prediction using neural networks: an application to the smartphone industry
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[33] Best performance modeling using complementary DEA-ANN approach
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[34] A Frontier Analysis Approach to Analyze the Operating Efficiency of Cable and Satellite Companies in the United States', Applications of Management Science …
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[35] Two-stage production modeling of large US banks: A DEA-neural network approach
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[36] DK Malhotra, Rashmi Malhotra and
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[37] Measuring the relative efficiency of firms listed on Tehran Stock Exchange
Management Science Letters, 2014
[38] Performance modeling of mobile phone providers: a DEA-ANN combined approach
Benchmarking: An International Journal, 2014
[39] 連接器廠商生產績效評估-以 C 公司為例
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[40] Analyzing financial statements of listed companies in Tehran Stock Exchange with a hybrid model of data envelopment analysis (DEA) and artificial neural network (ANN)
MAGNT Research Report , 2013
[41] Analyzing financial statements of listed companies in Tehran Stock Exchange with a hybrid model of data envelopment analysis (DEA) and artificial neural …
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[42] Analyzing financial statements of listed companies in Tehran Stock Exchange with a hybrid model of data envelopment analysis (DEA) and artificial neural …
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