Now showing items 1-6 of 6
Interval data without sign restrictions in DEA
Conventional DEA models assume deterministic, precise and non-negative data for input and output observations. However, real applications may be characterized by observations that are given in form of intervals and include ...
Efficiency analysis under imprecise inputs and outputs reduction
(World Scientific Publishing Co, 2012)
Data envelopment analysis (DEA) is a powerful tool for measuring the relative efficiencies of a set of decision making units (DMU) that consume multiple inputs to produce multiple outputs. DEA can also be used in activity ...
An overall profit Malmquist productivity index with fuzzy and interval data
Although crisp data are fundamentally indispensable for determining the profit Malmquist productivity index (MPI), the observed values in real-world problems are often imprecise or vague. These imprecise or vague data can ...
An inverse optimization model for imprecise data envelopment analysis
(Taylor & Francis, 2014-11-06)
Inverse data envelopment analysis (InDEA) is a well-known approach for short-term forecasting of a given decision-making unit (DMU). The conventional InDEA models use the production possibility set (PPS) that is composed ...
Estimating returns to scale in imprecise data envelopment analysis
The economic concept of Returns-to-Scale (RTS) has been intensively studied in the context of Data Envelopment Analysis (DEA). The conventional DEA models that are used for RTS classification require well-defined and ...
General and multiplicative non-parametric corporate performance models with interval ratio data
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 ...