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Jul 1, 2002 · In this paper we develop an alternative approach for dealing with imprecise data (mixtures of exact, interval and ordinal data in the same ...
The standard data envelopment analysis (DEA) method requires that the values for all inputs and outputs be known exactly. When some outputs and inputs are ...
Data envelopment analysis with imprecise data · Author & abstract · Download · 5 References · 52 Citations · Most related · Related works & more · Corrections ...
This paper proposes a method to determine efficiency of two-stage DMUs with Bounded inputs and outputs and extend the proposed method to deal with the more ...
Data Envelopment Analysis (DEA) is a nonparametric approach to evaluating the relative efficiency of decision making units (DMUs) that use multiple inputs ...
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Jun 14, 2013 · DEA (Data Envelopment Analysis) is a very useful tool for evaluating efficiency. This method requires that the values for all inputs and outputs ...
This paper constructs a procedure to measure the efficiencies of DMUs with mixtures of interval data, ordinal data and fuzzy data. The basic idea is to ...
DEA with imprecise data or, more compactly, the Imprecise Data Envelopment Analysis (IDEA) method developed in this paper permits mixtures of imprecisely ...
Abstract. Data envelopment analysis (DEA) has excellent efficiency evaluation performance and is extensively employed in measuring efficiency of decision-making ...
DEA (Data Envelopment Analysis) is a very useful tool for evaluating efficiency. This method requires that the values for all inputs and outputs are known ...