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 prominent technique to make decisions and improve
alternatives based on non-parameter modeling and ratio calculation. However, an obvious …

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 …

Preventing cost overruns of such infrastructure projects as power plants is a global project
management problem. The existing risk assessment methods/models have limitations to …

As the destructive impacts of both human-made and natural disasters on societies and built
environments are predicted to increase in the future, innovative disaster management …

The most significant factor for the survival of an enterprise under a high level of competition
is new product development (NPD). As a result, selecting a potential NPD project portfolio to …

DEA (data envelopment analysis) has been widely used for the efficiency analysis of
industrial production process. However, the conventional DEA model is difficult to analyze …

Fuzzy AHP is a hybrid method that combines Fuzzy Set Theory and AHP. It has been
developed to take into account uncertainty and imprecision in the evaluations. Fuzzy Set …

For accomplishing efficiency analysis and resource planning of organizations in various
sectors, data envelopment analysis (DEA) has attracted many researchers' interest. Rather …