In recent years there has been an exponential growth in the number of publications related to theory and applications of Data Envelopment Analysis (DEA). Charnes, Cooper, and …
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 …
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 …
Abstract Possibilistic Data Envelopment Analysis (PDEA) is one of the most applicable and popular approaches in the literature to deal with imprecise and ambiguous data in DEA …
Appropriate supplier selection due to its direct impact on profitability and maintaining the competitive status of an organization is one of the vital decisions for each company. Data …
M Dotoli, N Epicoco, M Falagario… - Computers & Industrial …, 2015 - Elsevier
The paper presents a novel cross-efficiency fuzzy Data Envelopment Analysis (DEA) technique for evaluating different elements (Decision Making Units or DMUs) under …
The decline in coal production and the increase in low-carbon production levels are both important manifestations of the industry's elimination of backward production capacity. To …
Possibilistic programming approach is one of the most popular methods used to cope with epistemic uncertainty in optimization models. In this paper, several robust fuzzy data …
A Azadeh, R Kokabi - Advanced engineering informatics, 2016 - Elsevier
Data envelopment analysis (DEA) is a methodology that uses multiple inputs and outputs for measuring the efficiencies of a set of decision making units (DMUs). When data are crisp …