data envelopment analysis data envelopment analysis

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DEA2004, Birmingham, UK, September 2004

DEA2004: Data Envelopment Analysis & Performance Management

DEA2004 Birmingham, UK September 2004 http://www.deazone.com/DEA2004/

DEA2002, Moscow, Russia, July 2002

DEA2002 Moscow, Russia July 2002  

Amin, G. R. and A. Emrouznejad (2009). “Determining More Realistic OWA Weights.” IEEE Fuzzy Systems and Knowledge Discovery: 181:185.

Amin, G. R. and A. Emrouznejad (2009). “Determining More Realistic OWA Weights.” IEEE Fuzzy Systems and Knowledge Discovery: 181:185. The concept of ordered weighted averaging (OWA) operator weights arises in uncertain decision making problems, however some weights may have a specific relationship with other. This information about the weights can be obtained from Decision Makers …

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Emrouznejad, A. and A. L. Anouze (2009). “A note on the modeling the efficiency of top Arab banks.” Expert Systems with Applications 36(3 PART 1): 5741-5744.

Emrouznejad, A. and A. L. Anouze (2009). “A note on the modeling the efficiency of top Arab banks.” Expert Systems with Applications 36(3 PART 1): 5741-5744. The major aim of this research is benchmarking top Arab banks using Data Envelopment Analysis (DEA) technique and to compare the results with that of published recently in Mostafa …

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Emrouznejad, A. and E. Shale (2009). “A combined neural network and DEA for measuring efficiency of large scale datasets.” Computers and Industrial Engineering 56(1): 249-254.

Emrouznejad, A. and E. Shale (2009). “A combined neural network and DEA for measuring efficiency of large scale datasets.” Computers and Industrial Engineering 56(1): 249-254. Data Envelopment Analysis (DEA) is one of the most widely used methods in the measurement of the efficiency and productivity of Decision Making Units (DMUs). DEA for a large dataset …

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Emrouznejad, A. and G. R. Amin (2009). “DEA models for ratio data: Convexity consideration.” Applied Mathematical Modelling 33(1): 486-498.

Emrouznejad, A. and G. R. Amin (2009). “DEA models for ratio data: Convexity consideration.” Applied Mathematical Modelling 33(1): 486-498. Data envelopment analysis (DEA) is defined based on observed units and by finding the distance of each unit to the border of estimated production possibility set (PPS). The convexity is one of the underlying assumptions of …

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Emrouznejad, A. and G. R. Amin (2009). “Document Similarity: A New Measure using OWA.” IEEE Fuzzy Systems and Knowledge Discovery: 186:190.

Emrouznejad, A. and G. R. Amin (2009). “Document Similarity: A New Measure using OWA.” IEEE Fuzzy Systems and Knowledge Discovery: 186:190. In this paper, we propose a new similarity measure to compute the pair-wise similarity of text-based documents based on patterns of the words in the documents. First we develop a kappa measure for pair-wise …

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Emrouznejad, A., V. V. Podinovski, et al. (2009). “Data envelopment analysis: Theory and applications.” Journal of the Operational Research Society 60(11): 1467-1468.

Emrouznejad, A., V. V. Podinovski, et al. (2009). “Data envelopment analysis: Theory and applications.” Journal of the Operational Research Society 60(11): 1467-1468. 10.1057/jors.2009.73 Download (Source 1) Download(DOI) Emrouznejad, A., V. V. Podinovski, et al. (2009). “Data envelopment analysis: Theory and applications.” Journal of the Operational Research Society 60(11): 1467-1468. . Download(Source 2)

Ho, W. and A. Emrouznejad (2009). “A mathematical model for assembly line balancing model to consider disordering sequence of workstations.” Assembly Automation 29(1): 49-51.

Ho, W. and A. Emrouznejad (2009). “A mathematical model for assembly line balancing model to consider disordering sequence of workstations.” Assembly Automation 29(1): 49-51. Purpose – A binary integer programming model for the simple assembly line balancing problem (SALBP), which is well known as SALBP-1, was formulated more than 30 years ago. Since then, a …

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Ho, W. and A. Emrouznejad (2009). “Multi-criteria logistics distribution network design using SAS/OR.” Expert Systems with Applications 36(3 PART 2): 7288-7298.

Ho, W. and A. Emrouznejad (2009). “Multi-criteria logistics distribution network design using SAS/OR.” Expert Systems with Applications 36(3 PART 2): 7288-7298. This paper explores the use of the optimization procedures in SAS/OR software with application to the contemporary logistics distribution network design using an integrated multiple criteria decision making approach. Unlike the traditional optimization techniques, …

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