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 …

This paper studies how to conduct efficiency assessment using data envelopment analysis
(DEA) in interval and/or fuzzy input–output environments. A new pair of interval DEA models …

Throughout the book, my colleagues and I have endeavored to address the DEA theory
needed by the end-users, key model design issues, correct interpretation of DEA results …

Determining the optimal scale size of a combined cycle power plant is inherently a complex
problem often with multiple and conflicting criteria as well as uncertain factors. The …

In this paper, fuzzy DEA (data envelopment analysis) models are proposed for evaluating
the efficiencies of objects with fuzzy input and output data. The obtained efficiencies are also …

One of the important applications of data envelopment analysis (DEA) is estimation of most
productive scale size (MPSS). The goal of this study, is to propose a new approach for …

Technology selection is an important part of management of technology. To select the best
technologies in the existence of both cardinal and ordinal data, this paper proposes an …

DEA (data envelopment analysis) is a non-parametric technique for measuring and
evaluating the relative efficiencies of a set of entities with common crisp inputs and outputs …

The manpower in an organization constitutes an important and essential asset. Competent
personnel endowed with individual academic and managerial strengths in specific …

Abstract Data Envelopment Analysis (DEA) is a nonparametric approach to evaluating the
relative efficiency of decision making units (DMUs) that use multiple inputs to produce …