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Now showing items 1-10 of 11

#### 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; ...

#### Allocating fixed resources and setting targets using a common-weights DEA approach

(Elsevier, 2013)

Data envelopment analysis (DEA) is a data-driven non-parametric approach for measuring the efficiency of a set of decision making units (DMUs) using multiple inputs to generate multiple outputs. Conventionally, DEA is used ...

#### Positive and normative use of Fuzzy DEA-BCC models: A critical view on NATO enlargement

(Wiley, 2013)

Data envelopment analysis (DEA) is a widely used mathematical programming approach for comparing the input and output of a set of comparable decision-making units (DMUs) by evaluating their relative efficiency. The traditional ...

#### Imprecise data envelopment analysis for the two-stage process

(2013)

The aggregate black-box approach of conventional Data Envelopment Analysis (DEA) limits its usefulness in situations where the observation is the result of independent decision making in sub-units (sub-DMUs), sequentially ...

#### Centralized resource reduction and target setting under DEA control

(2013)

Data Envelopment Analysis (DEA) is a powerful tool for measuring the relative efficiency of decision making units (DMUs). In centralized decision-making systems, management normally imposes common resource constraints such ...

#### 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 ...

#### Interval data without sign restrictions in DEA

(Elsevier, 2013-10-26)

Conventional DEA models assume deterministic, precise and non-negative data for input and output observations. However, real applications may be characterized by observations that are given in form of intervals and include ...

#### Centralized resource reduction and target setting under DEA control

(2013)

Data envelopment analysis (DEA) is a powerful tool for measuring the relative efficiencies of a set of decision making units (DMUs) such as schools and bank branches that transform multiple inputs to multiple outputs. In ...

#### 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 ...