## Search

Now showing items 21-30 of 61

#### 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 ...

#### Fuzzy Efficiency Measures in Data Envelopment Analysis Using Lexicographic Multiobjective Approach

(Elsevier, 2017-01-09)

There is an extensive literature in data envelopment analysis (DEA) aimed at evaluating the relative efficiency of a set of decision-making units (DMUs). Conventional DEA models use definite and precise data while real-life ...

#### 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 ...

#### A fully fuzzified data envelopment analysis model

(Inderscience, 2011)

In the conventional data envelopment analysis (DEA), all the data assumes the form of crisp numerical values. However, the observed values of the input and output data in real-world problems are sometimes imprecise or ...

#### 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 ...

#### Evaluating the performance and ranking of DMUs: A fuzzy bounded DEA approach

(2014)

Data envelopment analysis (DEA) is a common technique in measuring the relative efficiency of a set of decision making units (DMUs) with multiple inputs and multiple outputs. Unfortunately, the existing DEA models are ...

#### 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 ...