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Now showing items 11-20 of 51

#### 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 ...

#### 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) ...

#### An Application of Fuzzy Numbers Ranking in Performance Analysis

(2009)

Data Envelopment Analysis (DEA) is a mathematical optimization technique that measures the relative efficiency of Decision Making Units (DMUs) with multiple input-output. In traditional DEA models, the data of different ...

#### 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 ...

#### A fuzzy expected value approach under generalized data envelopment analysis

(Elsevier, 2015-07-09)

Fuzzy data envelopment analysis (DEA) models emerge as another class of DEA models to account for imprecise inputs and outputs for decision making units (DMUs). Although several approaches for solving fuzzy DEA models have ...

#### Frontier analysis of supply chain management: A game-theoretic perspective

(2014)

Supply chains can be seen as an empirically well represented case of decentralized decision making systems with co-existence of common (system) objectives and private (firm-specific) interests. A non-trivial supply chain ...