## Search

Now showing items 11-20 of 52

#### 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 ...

#### Dual frontiers without convexity

(Elsevier, 2016-10-11)

The conventional optimistic data envelopment analysis (DEA) model typically evaluates decision-making units (DMUs) using the best relative efficiency that is derived from the estimated efficient production frontier, while ...

#### 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 ...

#### A comment on a new super-efficiency model in the presence of negative data

(Springer, 2015-09-23)

The super-efficiency data envelopment analysis model under constant returns to scale does not suffer from the infeasibility problem while the super-efficiency model under the condition of variable returns to scale (VRS) ...

#### A FDH super-efficiency model

(2016)

The free disposal hull (FDH) model, developed by Deprins et al. [The Performance of Public Enterprises Concepts and Measurements, Elsevier, 1984], is derived from a representation of the production technology where production ...

#### Performance Evaluation of R&D Firms for Generating Insights into Innovation Systems

(2015)

Due to the speed of technology change and market development, R&D active firms that are viewed as an important and effective anchor of facilitating future product development and economic growth, although R&D is not often ...

#### 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 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 bi-objective data envelopment analysis model using a common set of weights

(2015)

Conventional data envelopment analysis (DEA) stems from benefit/cost theory to evaluate the technical efficiency of units as the ratio of weighted outputs to weighted inputs. DEA in this regard allows each unit to maximize ...