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Performance Measurement with Fuzzy Data Envelopment Analysis (eBook)

Artikelnummer: 978-3-642-41372-8
Einband: PDF
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The intensity of global competition and ever-increasing economic uncertainties has led organizations to search for more efficient and effective ways to manage their business operations.  Data envelopment analysis (DEA) has been widely used as a conceptually simple yet powerful tool for evaluating organizational productivity and performance. Fuzzy DEA (FDEA) is a promising extension of the conventional DEA proposed for dealing with imprecise and ambiguous data in performance measurement problems. This book is the first volume in the literature to present the state-of-the-art developments and applications of FDEA. It is designed for students, educators, researchers, consultants and practicing managers in business, industry, and government with a basic understanding of the DEA and fuzzy logic concepts.

The intensity of global competition and ever-increasing economic uncertainties has led organizations to search for more efficient and effective ways to manage their business operations.  Data envelopment analysis (DEA) has been widely used as a conceptually simple yet powerful tool for evaluating organizational productivity and performance. Fuzzy DEA (FDEA) is a promising extension of the conventional DEA proposed for dealing with imprecise and ambiguous data in performance measurement problems. This book is the first volume in the literature to present the state-of-the-art developments and applications of FDEA. It is designed for students, educators, researchers, consultants and practicing managers in business, industry, and government with a basic understanding of the DEA and fuzzy logic concepts.

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VerlagSpringer Berlin Heidelberg
EinbandPDF
Erscheinungsjahr2013
Seitenangabe288 S.
AusgabekennzeichenEnglisch
AbbildungenXIV, 288 p. 42 illus., 4 illus. in color.
Masse4'184 KB
PlattformPDF
ReiheStudies in Fuzziness and Soft Computing; Engineering; Engineering
AutorEmrouznejad, Ali (Hrsg.) / Tavana, Madjid (Hrsg.)

Alle Bände der Reihe "Studies in Fuzziness and Soft Computing; Engineering; Engineering (R0)"

Über den Autor Ali (Hrsg.) Emrouznejad

Ali Emrouznejad is Professor and Chair in Business Analytics at Surrey Business School, UK, and Director of the Centre for Business Analytics in Practice. His research focuses on performance measurement, efficiency and productivity analysis, artificial intelligence, and big data. He has published over 250 articles in leading journals and has been listed among the world's top 2% most influential scientists by Stanford University. He is Editor of the Springer book series Business Analytics in Practice and has authored or edited numerous books. Professor Emrouznejad also serves as editor, associate editor, or member of the editorial boards of several scientific journals. Subhash C. Ray is a Professor of Economics at the University of Connecticut, USA, where he has been a faculty member since 1982. He earned his Ph.D. in Economics from the University of California, and earlier degrees from the University of Calcutta and the Indian Institute of Management Calcutta. His research focuses on production analysis, efficiency measurement, and econometrics, with a particular emphasis on Data Envelopment Analysis (DEA). He is the author of the widely cited book Data Envelopment Analysis: Theory and Techniques for Economics and Operations Research (Cambridge University Press, 2004) and serves as an Associate Editor of the Journal of Productivity Analysis. Professor Ray has published numerous papers in top-ranked academic journals in economics, operations research, and productivity analysis. Professor Gokulananda Patel is an accomplished academic specializing in Decision Sciences, Applied Mathematics, and Operations Research. He holds a Master's degree in Applied Mathematics and a Ph.D. in Operations Research. Currently, he serves as a Professor of Decision Sciences at Birla Institute of Management Technology India. With an extensive research portfolio, Prof. Patel has published over 70 research papers, primarily focusing on Data Envelopment Analysis and its applications in performance evaluation and operational efficiency. Beyond his institutional roles, he has also contributed as a visiting professor, sharing his expertise in quantitative methods, operations research, and decision sciences with academic communities across the globe.

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