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 proposed interval DEA (IDEA) and fuzzy DEA (FDEA) to deal with imprecise...

The increasing intensity of global competition has led organizations to utilize various types of performance measurement tools for improving the quality of their products and services. Data envelopment analysis (DEA) is a methodology for evaluating and measuring the relative efficiencies of a...

Data envelopment analysis (DEA) is a powerful mathematical method that utilizes linear programming (LP) to determine the relative efficiencies of a set of functionally similar decision making units (DMUs). Evaluating the efficiency of DMUs continues to be a difficult problem to solve, especially...

We present an equilibrium model where the demand side of the market determines the strategic incentives of firms when considering the introduction of technologically superior products (TSPs) and the subsequent dynamic evolution of the market configuration. Market demand is built on conventional...