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A Review on the 40 Years of Existence of Data Envelopment Analysis Models: Historic Development and Current Trends.
Panwar, Ankita; Olfati, Maryam; Pant, Millie; Snasel, Vaclav.
Afiliación
  • Panwar A; Department of Applied Mathematics and Scientific Computing, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand India.
  • Olfati M; Electrical Engineering and Computer Science, Department of Computer Science, Technical University of Ostrava, Ostrava, Czech Republic.
  • Pant M; Department of Applied Mathematics and Scientific Computing, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand India.
  • Snasel V; Mehta Family School for Data Science and Artificial Intelligence, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand India.
Arch Comput Methods Eng ; 29(7): 5397-5426, 2022.
Article en En | MEDLINE | ID: mdl-35702633
ABSTRACT
DEA, incepted in 80s, has emerged as a popular decision-making technique, for determining the efficiency of similar units. Due to its simplicity and applicability, DEA has gained the attention of scientists and researchers working in diverse areas, which has contributed towards a rich literature both in terms of theoretical development as well as different applications. This paper tries to bring together the near 40 years of existence of DEA in a concise format by discussing the popular DEA models, their advantages and shortcomings, and different applications of DEA. It also provides a brief bibliometric analysis to highlight the development of DEA over the years in terms of publication trends, highly cited papers, journal citation, etc.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Arch Comput Methods Eng Año: 2022 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Arch Comput Methods Eng Año: 2022 Tipo del documento: Article