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Now showing items 11-20 of 63

#### 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 ...

#### An extended multiple criteria data envelopment analysis model

(Elsevier, 2016-12-24)

Several researchers have adapted the data envelopment analysis (DEA) models to deal with two inter-related problems: weak discriminating power and unrealistic weight distribution. The former problem arises as an application ...

#### Dual-Role Factors for Imprecise Data Envelopment Analysis

(Elsevier, 2017-05-15)

Efficiency analyses are crucial to managerial competency for evaluating the degree to which resources are consumed in the production process of gaining desired services or products. Among the vast available literature on ...

#### 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 ...

#### 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 ...

#### 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 ...

#### Consistent and robust ranking in imprecise data envelopment analysis under perturbations of random subsets of data

(Springer, 2014-01)

Data envelopment analysis (DEA) is a non-parametric method for measuring the relative efficiency of a set of decision making units using multiple precise inputs to produce multiple precise outputs. Several extensions to ...

#### Efficiency analysis under imprecise inputs and outputs reduction

(World Scientific Publishing Co, 2012)

Data envelopment analysis (DEA) is a powerful tool for measuring the relative efficiencies of a set of decision making units (DMU) that consume multiple inputs to produce multiple outputs. DEA can also be used in activity ...