Abstract
Relative efficiency of decision-making units (DMUs) is assessed by classical data envelopment analysis (DEA) models. DEA is a popular technique for efficiency evaluation. There might be a couple of efficient DMUs. Classical DEA models cannot fully rank efficient DMUs. In this paper, a novel technique for fully ranking all DMUs based on changing reference set using a single virtual inefficient DMU is proposed. To this end, the first concept of virtual DMU is defined as average of all inefficient DMUs. Virtual DMU is a proxy of all inefficient DMUs. This new method proposes a new ranking method that takes into account impact of efficient DMUs on virtual DMU and impact of efficient DMUs on influences of other efficient DMUs. A case study is given to show applicability of the proposed approach.
Original language | English |
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Pages (from-to) | 596-608 |
Number of pages | 13 |
Journal | Expert Systems |
Volume | 32 |
Issue number | 5 |
DOIs | |
Publication status | Published - Oct 2015 |
Keywords
- data envelopment analysis (DEA)
- efficiency
- industrial parks
- ranking
- reference set
ASJC Scopus subject areas
- Control and Systems Engineering
- Theoretical Computer Science
- Computational Theory and Mathematics
- Artificial Intelligence