Now showing items 1-5 of 5
A comment on a new super-efficiency model in the presence of negative data
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 fuzzy expected value approach under generalized data envelopment analysis
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 ...
Performance Evaluation of R&D Firms for Generating Insights into Innovation Systems
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 ...
Extended symmetric and asymmetric weight assignment methods in data envelopment analysis
Dual weight restrictions are commonly suggested as a remedy to the problem of low discriminatory power and absurd marginal prices in conventional Data Envelopment Analysis (DEA) models. However, weight restriction models ...
A bi-objective data envelopment analysis model using a common set of weights
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 ...