Performance measurement with fuzzy data envelopment analysis

Ali Emrouznejad; Madjid Tavana

doi:10.1007/978-3-642-41372-8

Performance measurement with fuzzy data envelopment analysis

Ali Emrouznejad (Editor), Madjid Tavana (Editor)

Operations & Information Management

Research output: Book/Report › Edited Book

Abstract

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.

Original language	English
Place of Publication	Berlin (DE)
Publisher	Springer
Number of pages	288
ISBN (Electronic)	978-3-642-41372-8
ISBN (Print)	978-3-642-41371-1
DOIs	https://doi.org/10.1007/978-3-642-41372-8
Publication status	Published - 31 Dec 2014

Publication series

Name	Studies in fuzziness and soft computing
Publisher	Springer-Verlag
Volume	309
ISSN (Print)	1434-9922
ISSN (Electronic)	1860-0808

Keywords

DMUs
supply chain efficiency evaluation
supplier performance evaluation
network data envelopment analysis
imprecise data envelopment
fuzzy DEA models
FDEA
decision making units

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10.1007/978-3-642-41372-8

Cite this

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KW - imprecise data envelopment

KW - fuzzy DEA models

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KW - decision making units

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BT - Performance measurement with fuzzy data envelopment analysis

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Performance measurement with fuzzy data envelopment analysis

Abstract

Publication series

Keywords

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Preface

The state of the art in fuzzy data envelopment analysis

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