Data Envelopment Analysis (DEA) has grown into a powerful, quantitative
analytical tool for measuring and evaluating performance. This volume
offers a systematic introduction to DEA and its uses as a multifaceted
tool for evaluating problems in a variety of contexts.
Each chapter
accompanies its developments with simple numerical examples and
discussions of actual applications. Emphasis is placed on the use as
well as an understanding of DEA and the topics in this book have been
selected and treated accordingly.
The first nine chapters cover the
basic principles of DEA, while the final seven chapters provide a more
advanced treatment. For this new, second edition, these final chapters
have been completely revised, reflecting recent developments that have
greatly extended the power and scope of DEA and have lead to new
directions for research and DEA uses.
This new edition systematically
details both the basic principles and new developments in DEA, offering a
solid understanding of the methodology, its uses, and its potential.
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