## Search

Now showing items 1-10 of 49

#### 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 ...

#### 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 ...

#### 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, ...

#### 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 ...

#### 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 ...