Selective convexity in DEA models
UNSPECIFIED. (2005) Selective convexity in DEA models. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 161 (2). pp. 552-563. ISSN 0377-2217Full text not available from this repository.
Official URL: http://dx.doi.org/10.1016/j.ejor.2003.09.008
In this paper we introduce a concept of selective convexity into the models of data envelopment analysis (DEA). In this development, each input and output can be judged individually with respect to its compliance with the convexity assumption. The decision making units can be used to form convex combinations provided they are different only on the inputs and outputs for which the convexity assumption is accepted. The free disposal hull, standard variable returns-to-scale and quasi-concave DEA models are all special cases in the range of models obtained in this paper. Operationally, the new models are solved as mixed integer linear programs, both in the input- and output-oriented scenarios. (C) 2003 Elsevier B.V. All rights reserved.
|Item Type:||Journal Article|
|Subjects:||H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management|
|Journal or Publication Title:||EUROPEAN JOURNAL OF OPERATIONAL RESEARCH|
|Publisher:||ELSEVIER SCIENCE BV|
|Official Date:||1 March 2005|
|Number of Pages:||12|
|Page Range:||pp. 552-563|
Actions (login required)
Downloads per month over past year