Abstract
The paper presents a brief introduction to possibility of application of multicriteria approaches to performance analysis of decision making units. The Data Envelopment Analysis (DEA) is an approach of performance evaluation of decision making units by multiple input and multiple output. Solving of a multiobjective linear programming problem by the Aspiration Level Oriented Procedure (ALOP) can be used for search of the efficient frontier in DEA.
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References
Charnes, A., Cooper, W.W., Rhodes, E.: Measuring Efficiency of Decision Making Units. European Journal of Operational Research 1, 1978, 429–444.
Cooper, W.W., Tone, K.: A Survey of Some Recent Developments in Data Envelopment Analysis. In: EURO XIV Conference, Jerusalem 1995, 149168.
Fiala, P.: Models of Cooperative Decision Making. In:. Gal and G. Fandel, eds: Multiple Criteria Decision Making, Hagen 1995, Springer, Berlin 1997, 128–136.
Korhonen, P.: Searching the Efficient Frontier in Data Envelopment Analysis. IIASA Report IR-97–79, Luxemburg 1997.
Rouse, P., Puterill, M., Ryan, D.: Towards a General Managerial Framework for Performance Measurement: A Comprehensive Highway Maintenance Application. Journal of Productivity Analysis 8, 1997, 127–149.
Saaty, T.L.: The Analytic Hierarchy Process. RWS Publications, Pittsburgh 1990.
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Fiala, P. (2002). Data Envelopment Analysis by Multiobjective Linear Programming Methods. In: Trzaskalik, T., Michnik, J. (eds) Multiple Objective and Goal Programming. Advances in Soft Computing, vol 12. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1812-3_4
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DOI: https://doi.org/10.1007/978-3-7908-1812-3_4
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-1409-5
Online ISBN: 978-3-7908-1812-3
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