Performance Measurement with Fuzzy Data Envelopment Analysis

  • Ali Emrouznejad
  • Madjid Tavana

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 309)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Ali Emrouznejad, Madjid Tavana, Adel Hatami-Marbini
    Pages 1-45
  3. Yongjun Shen, Elke Hermans, Tom Brijs, Geert Wets
    Pages 89-100
  4. M.-R. Ghasemi, Joshua Ignatius, S. M. Davoodi
    Pages 157-165
  5. Majid Zerafat Angiz Langroudi
    Pages 167-189
  6. Sebastián Lozano, Plácido Moreno
    Pages 207-230
  7. Atefeh Amindoust, Ali Saghafinia
    Pages 255-269
  8. Anjali Awasthi, Khoshrow Noshad, Satyaveer Singh Chauhan
    Pages 271-285
  9. Back Matter
    Pages 287-288

About this book


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.


DMUs Decision Making Units FDEA Fuzzy DEA Models Imprecise Data Envelopment Network Data Envelopment Analysis Supplier Performance Evaluation Supply Chain Efficiency Evaluation

Editors and affiliations

  • Ali Emrouznejad
    • 1
  • Madjid Tavana
    • 2
  1. 1.Operations and Information Management GroupAston Business School, Aston UniversityBirminghamUnited Kingdom
  2. 2.Business Systems and Analytics DepartmentLa Salle UniversityPhiladelphiaUSA

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2014
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-642-41371-1
  • Online ISBN 978-3-642-41372-8
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site
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