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Now showing items 1-10 of 20

#### A common-weights DEA model for centralized resource reduction and target setting

(Elsevier, 2014-11-20)

Data Envelopment Analysis (DEA) is a powerful tool for measuring the relative efficiency for a set of Decision Making Units (DMUs) that transform multiple inputs into multiple outputs. In centralized decision-making systems, ...

#### 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 ...

#### Fuzzy stochastic data envelopment analysis with application to Base Realignment and Closure (BRAC)

(Elsevier, 2012-04-26)

Data envelopment analysis (DEA) is a non-parametric method for evaluating the relative efficiency of decision-making units (DMUs) on the basis of multiple inputs and outputs. Conventional DEA models assume that inputs and ...

#### Extended symmetric and asymmetric weight assignment methods in data envelopment analysis

(Elsevier, 2015-06-27)

Dual weight restrictions are commonly suggested as a remedy to the problem of low discriminatory power and absurd marginal prices in conventional Data Envelopment Analysis (DEA) models. However, weight restriction models ...

#### A bounded data envelopment analysis model in a fuzzy environment with an application to safety in the semiconductor industry

(Springer, 2014-04-08)

Data envelopment analysis (DEA) is a mathematical programming approach for evaluating the relative efficiency of decision making units (DMUs) in organizations. The conventional DEA methods require accurate measurement of ...

#### The State of the Art in Fuzzy Data Envelopment Analysis

(Springer, 2013-11-29)

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. Crisp input and output data are ...

#### 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 ...

#### Productivity growth and efficiency measurement in fuzzy environment with application to health care

(IGI GLOBAL, 2012)

Health care organizations must continuously improve their productivity to sustain long-term growth and profitability. Sustainable productivity performance is mostly assumed to be a natural outcome of successful health care ...

#### 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 ...