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Now showing items 1-10 of 14

#### A common set of weight approach using an ideal decision making unit in data envelopment analysis

(AIMS, 2012-08)

Data envelopment analysis (DEA) is a common non-parametric frontier analysis method. The multiplier framework of DEA allows flexibility in the selection of endogenous input and output weights of decision making units (DMUs) ...

#### Data envelopment analysis: An efficient duo linear programming approach

(2011)

Data envelopment analysis (DEA) is a powerful mathematical method that utilises linear programming (LP) to determine the relative efficiencies of a set of functionally similar decision-making units (DMUs). Evaluating the ...

#### A fuzzy data envelopment analysis for clustering operating units with imprecise data

(World Scientific, 2013)

Data envelopment analysis (DEA) is a non-parametric method for measuring the efficiency of peer operating units that employ multiple inputs to produce multiple outputs. Several DEA methods have been proposed for clustering ...

#### Data envelopment analysis with fuzzy parameters: An interactive approach

(IGI, 2013)

Data envelopment analysis (DEA) is a methodology for measuring the relative efficiencies of a set of decision making units (DMUs) that use multiple inputs to produce multiple outputs. In the conventional DEA, all the data ...

#### Efficiency measurement in fuzzy additive data envelopment analysis

(Inderscience, 2012)

Performance evaluation in conventional data envelopment analysis (DEA) requires crisp numerical values. However, the observed values of the input and output data in real-world problems are often imprecise or vague. These ...

#### A data envelopment analysis model with discretionary and non-discretionary factors in fuzzy environments

(Inderscience, 2011)

Data envelopment analysis (DEA) is a methodology for measuring the relative efficiencies of a set of decision-making units (DMUs) that use multiple inputs to produce multiple outputs. The standard DEA models assume that ...

#### An ideal-seeking fuzzy data envelopment analysis framework

(Elsevier, 2010)

Data envelopment analysis (DEA) is a widely used mathematical programming approach for evaluating the relative efficiency of decision making units (DMUs) in organizations. Crisp input and output data are fundamentally ...

#### Ideal and anti-Ideal decision making units: A fuzzy DEA approach

(Springer, 2010)

In this paper, by introducing two virtual decision-making units (DMUs) called ideal DMU (IDMU) and anti-ideal DMU (ADMU) with fuzzy inputs-outputs, the efficiency evaluation of DMUs are done by fuzzy data envelopment ...

#### Improving the computational complexity and weights dispersion in fuzzy DEA

(World Scientific Publishing Co, 2013)

One of the prominent features of standard and fuzzy data envelopment analysis (DEA) is the representation of each of the participating decision making units (DMUs) in the best possible light. This causes two problems; ...

#### Stability of RTS of efficient DMUs in DEA with fuzzy u0 under fuzzy data

(m-hikari, 2009)

An important property of production functions is the concept return to scale (RTS) as found in the literature. There are two common variations RTS in data envelopment analysis (DEA) used, constant return to scale (CRS) and ...