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- Title
Merging Decision-Making Units with Fuzzy Data.
- Authors
Ghobadi, Saeid; Soleimani-Chamkhorami, Khosro
- Abstract
This paper studies the problem of target setting for a generated entity from a merger among two or more decision making units. Identification of the inherited input/output levels from merging decision-making units is an important issue. In this study, a novel inverse data envelopment analysis model is introduced for target setting of a merger in the presence of fuzzy data. This model enables the merged unit to recognize the required input/output levels from merging units to achieve a predefined efficiency target. Moreover, a fuzzy linear programming model is presented for estimating the minimum attainable efficiency score through a given merging. Then, the performance of the proposed method is examined through a banking application.
- Subjects
GROUP decision making; DATA envelopment analysis; DECISION making; LINEAR programming; MERGERS &; acquisitions
- Publication
Asia-Pacific Journal of Operational Research, 2022, Vol 39, Issue 4, p1
- ISSN
0217-5959
- Publication type
Article
- DOI
10.1142/S0217595921400121