Target setting in the general combined-oriented CCR model using an interactive MOLP method

The traditional data envelopment analysis (DEA) model does not include a decision maker’s (DM) preference structure while measuring relative efficiency, with no or minimal input from the DM. To incorporate DM’s preference information in DEA, various techniques have been proposed. An interesting meth...

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Bibliographic Details
Published in:Journal of computational and applied mathematics Vol. 234; no. 1; pp. 1 - 9
Main Authors: Hosseinzadeh Lotfi, F., Jahanshahloo, G.R., Ebrahimnejad, A., Soltanifar, M., Mansourzadeh, S.M.
Format: Journal Article
Language:English
Published: Kidlington Elsevier B.V 01.05.2010
Elsevier
Subjects:
Combined-oriented CCR model
Data envelopment analysis
Exact sciences and technology
Interactive multi-objective programming
Mathematical analysis
Mathematics
Min-Ordering method
Multiple objective linear programming
Numerical analysis
Numerical analysis. Scientific computation
Sciences and techniques of general use
Combined-oriented CCR model
Min-Ordering method
Interactive multi-objective programming
Multiple objective linear programming
Data envelopment analysis
Case study
Data analysis
Numerical analysis
Applied mathematics
Decision making
Ordering
Linear programming
ISSN:0377-0427, 1879-1778
Online Access:Get full text
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Summary:The traditional data envelopment analysis (DEA) model does not include a decision maker’s (DM) preference structure while measuring relative efficiency, with no or minimal input from the DM. To incorporate DM’s preference information in DEA, various techniques have been proposed. An interesting method to incorporate preference information, without necessary prior judgment, is the use of an interactive decision making technique that encompasses both DEA and multi-objective linear programming (MOLP). In this paper, we will use Zionts–Wallenius (Z–W) method to reflecting the DM’s preferences in the process of assessing efficiency in the general combined-oriented CCR model. A case study will conducted to illustrate how combined-oriented efficiency analysis can be conducted using the MOLP method.
ISSN:0377-0427
1879-1778
DOI:10.1016/j.cam.2009.11.045