نتایج جستجو برای: Data Envelopment Analysis

تعداد نتایج: 3947437  

Journal: :The Stata Journal: Promoting communications on statistics and Stata 2010
Yong-baeJi, ChoonjooLee,

Journal: :INFOR: Information Systems and Operational Research 2018
LimSungmook,

Journal: :European Journal of Operational Research 2018
MatthiasEhrgott, AllenHolder, OmidNohadani,

Journal: :Mathematical and Computational Applications 2002
IhsanAlp,

kh. Ghaziyani, M. Maghbouli, M. Zoriehhabib,

Data Envelopment Analysis (DEA) is a nonparametric approach for measuring the relative efficiency of a decision making units consists of multiple inputs and outputs. In all standard DEA models semi positive real valued measures are assumed, while in some real cases inputs and outputs may take complex valued. The question is related to measuring efficiency in such cases. As far as we are aware, ...

Journal: :Journal of Centrum Cathedra 2016
TaylorBoyd, GraceDocken, JohnRuggiero,

Journal: :Annals of Operations Research 2014
AliEmrouznejad,

2000
TIMO KUOSMANEN,

Data Envelopment Analysis (DEA) provides means for piecewise linear approximation of production functions. To improve the fit to the data we propose to improve the flexibility of the frontier by extending DEA towards a more general piecewise quadratic approximation, called Quadratic Data Envelopment Analysis (QDEA). In contrast to the linear approximation, the quadratic approximation allows for...

2010
Tiziano Bellini,

Data envelopment analysis (DEA) is a nonstochastic and nonparametric linear programming technique where a set of units are evaluated according to their input consumption and output production (Charnes et al. (1978)). Given that DEA efficiency analysis can be influenced by the presence of outliers, Banker and Chang (2006) proposed a method to detect atypical units through the super-efficiency mo...

In models of data envelopment analysis (DEA), an optimal set of weights is generally assumed to represent the assessed decision making unit (DMU) in the best light in comparison to all the other DMUs, and so there is an optimal set of weights corresponding to each DMU. The present paper, proposes a three stage method to determine one common set of weights for decision making units. Then, we use...

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