Variables reduction in data envelopment analysis

Autor:	Sohrab Kordrostami, Alireza Amirteimoori, Dimitris Despotis
Rok vydání:	2012
Předmět:	Reduction (complexity) Control and Optimization Applied Mathematics Yield (finance) Statistics Principal component analysis Closeness Econometrics Data envelopment analysis Performance measurement Management Science and Operations Research Mathematics
Zdroj:	Optimization. 63:735-745
ISSN:	1029-4945 0233-1934
Popis:	In real applications of data envelopment analysis (DEA), there are a number of pitfalls that could have a major influence on the efficiency. Some of these pitfalls are avoidable and the others remain problematic. One of the most important pitfalls that the researchers confront is the closeness of the number of operational units and the number of inputs and outputs. In performance measurement using DEA, the closeness of these two numbers could yield a large number of efficient units. In this article, some inputs or outputs will be aggregated and the number of inputs and outputs are reduced iteratively. Numerical examples show that in comparison to the single DEA method, our approach has the fewest efficient units. This means that our approach has a superior ability to discriminate the performance of the DMUs.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ea1f33dd48ab7e64e379be47af898012 https://doi.org/10.1080/02331934.2012.684354 Zobrazit plný text záznamu