Now showing items 1-6 of 6
An Application of Fuzzy Numbers Ranking in Performance Analysis
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 ...
Evaluating the performance and ranking of DMUs: A fuzzy bounded DEA approach
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 ...
A bounded data envelopment analysis model in a fuzzy environment with an application to safety in the semiconductor industry
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 ...
A robust optimization approach for imprecise data envelopment analysis
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 ...
Data envelopment analysis with fuzzy parameters: An interactive approach
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. In the conventional DEA, all the data ...
A flexible cross-efficiency fuzzy data envelopment analysis model for sustainable sourcing
Sustainable sourcing is a recent priority for firms considering customer behavior and societal norms with respect to the supply chain. Customer attitudes, particularly in the developed countries, are affected by the perceived ...