نتایج جستجو برای: ccr model

تعداد نتایج: 2107953  

Journal: :IJDATS 2010
Meiqiang Wang Yongjun Li

Abstract: The radial measures of classical DEA models (CCR, BCC) are incomplete, they are only separate measures of input and output efficiency and their efficiency index omit the non-zero input and output slacks. Enhanced Russell graph measure (ERM) eliminates these deficiencies. All of the existing fuzzy DEA models are extension of CCR or BCC model, efficiencies of DMUs, ultimately, are solut...

 In this article, we analyzed the efficiency of food and beverage companies that were accepted in stock market, using a nonlinear model. This model eliminates the weak points of base Data Envelopment Models in high computing, lack of integration and too many numbers of zero weights. Taking into account that in this study we developed the base Data Envelopment Analysis model, the research method...

Journal: :Refuge: Canada's Journal on Refugees 1989

Anchor DMUs are a new class in the general classification of Decision Making Units (DMUs) in Data Envelopment Analysis (DEA). An anchor DMU in DEA is an extreme-efficient DMU that defines the transition from the efficient frontier to the free-disposability part of the boundary of the Production Possibility Set (PPS). In this paper, the anchor points of the PPS of the CCR model are investigated....

Journal: :Clinical Cancer Research 2008

Journal: :Pattern Recognition Letters 2009
Francesco Bianconi Antonio Fernández Elena González Diego Caride Ana Calviño

The Coordinated Clusters Representation (CCR) is a texture descriptor based on the probability of occurrence of elementary binary patterns (texels) defined over a square window. The CCR was originally proposed for binary textures, and it was later extended to grayscale texture images through global image thresholding. The required global binarization is a critical point of the method, since thi...

Journal: :international journal of data envelopment analysis 2014
m. mohammadpour

data envelopment analysis (dea) models with interval inputs and outputs have been rarely discussed in dea literature. this paper, using the enhanced russell measurement proposes an extended model which permits the presence of interval scale variables which can take both negative and positive values. the model is compared with most well-known dea models of which include the ccr model, the bcc mo...

M. Mohammadpour

Data Envelopment Analysis (DEA) models with interval inputs and outputs have been rarely discussed in DEA literature. This paper, using the enhanced Russell measurement proposes an extended model which permits the presence of interval scale variables which can take both negative and positive values. The model is compared with most well-known DEA models of which include the CCR model, the BCC mo...

2004
Yinsheng Yang Benjiang Ma Masayuki Koike

Data Envelopment Analysis (DEA) is a mathematical programming approach to assess relative efficiencies with a group of decision making units (DMUs) such as production systems. There have been some useful models for their successful applications in many fields. In this paper, we first point out the defect of the first DEA model CCR (Charnes, Cooper and Rhodes, 1978) in measuring the efficiencies...

Journal: :Clinical Cancer Research 2006

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