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Now showing items 31-40 of 52

#### 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 ...

#### An ideal-seeking fuzzy data envelopment analysis framework

(Elsevier, 2010)

Data envelopment analysis (DEA) is a widely used mathematical programming approach for evaluating the relative efficiency of decision making units (DMUs) in organizations. Crisp input and output data are fundamentally ...

#### Network DEA with common weights

(2017-06-26)

Data envelopment analysis (DEA) generally includes two properties. First, DEA is based upon the overall efficiency without observing the internal structure of a production system. Second, a multiplier DEA model allows a ...

#### Estimating returns to scale in imprecise data envelopment analysis

(2014)

The economic concept of Returns-to-Scale (RTS) has been intensively studied in the context of Data Envelopment Analysis (DEA). The conventional DEA models that are used for RTS classification require well-defined and ...

#### Ideal and anti-Ideal decision making units: A fuzzy DEA approach

(Springer, 2010)

In this paper, by introducing two virtual decision-making units (DMUs) called ideal DMU (IDMU) and anti-ideal DMU (ADMU) with fuzzy inputs-outputs, the efficiency evaluation of DMUs are done by fuzzy data envelopment ...

#### 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; ...

#### 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 ...

#### Stability of RTS of efficient DMUs in DEA with fuzzy u0 under fuzzy data

(m-hikari, 2009)

An important property of production functions is the concept return to scale (RTS) as found in the literature. There are two common variations RTS in data envelopment analysis (DEA) used, constant return to scale (CRS) and ...

#### 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 robust optimization approach for imprecise data envelopment analysis

(Elsevier, 2010)

Crisp input and output data are fundamentally indispensable in traditional data envelopment analysis (DEA). However, the input and output data in real-world problems are often imprecise or ambiguous. Some researchers have ...