Title
An ideal-seeking fuzzy data envelopment analysis framework
Document Type
Article
Publication Date
1-4-2010
DOI
https://doi.org/10.1016/j.asoc.2009.12.031
Abstract
Data envelopment analysis (DEA) is a widely used mathematical programming approach for evaluating the relative efficiency of decision making units (DMUs) in organizations. Crisp input and output data are fundamentally indispensable in traditional DEA evaluation process. However, the input and output data in real-world problems are often imprecise or ambiguous. In this study, we present a four-phase fuzzy DEA framework based on the theory of displaced ideal. Two hypothetical DMUs called the ideal and nadir DMUs are constructed and used as reference points to evaluate a set of information technology (IT) investment strategies based on their Euclidean distance from these reference points. The best relative efficiency of the fuzzy ideal DMU and the worst relative efficiency of the fuzzy nadir DMU are determined and combined to rank the DMUs. A numerical example is presented to demonstrate the applicability of the proposed framework and exhibit the efficacy of the procedures and algorithms.
Language
English
Recommended Citation
Hatami-Marbini, Adel; Saati, Saber; and Tavana, Madjid, "An ideal-seeking fuzzy data envelopment analysis framework" (2010). Business Systems and Analytics Faculty Work. 290.
https://digitalcommons.lasalle.edu/bsa_faculty/290
Comments
Hatami-Marbini, A., Saati, S. and Tavana, M. (2010) ‘An Ideal-Seeking Fuzzy Data Envelopment Analysis Framework,’ Applied Soft Computing, Vol. 10, No. 4, 1062–1070.