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Performance Measurement with Fuzzy Data Envelopment Analysis

  • Book
  • © 2014

Overview

Editors:
  1. Ali Emrouznejad

    1. Operations and Information Management Group, Aston Business School, Aston University, Birmingham, United Kingdom

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    You can also search for this editor in PubMed   Google Scholar

  2. Madjid Tavana

    1. Business Systems and Analytics Department, La Salle University, Philadelphia, USA

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    You can also search for this editor in PubMed   Google Scholar

  • Recent research and state-of-the-art contributions on performance measurement with fuzzy data envelopment analysis
  • State-of-the-art applications of fuzzy sets in data envelopment analysis
  • Written by leading experts in the field

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

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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.

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xiv
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  2. The State of the Art in Fuzzy Data Envelopment Analysis

    • Ali Emrouznejad, Madjid Tavana, Adel Hatami-Marbini
    Pages 1-45

  3. Imprecise Data Envelopment Analysis: Concepts, Methods, and Interpretations

    • K. Sam Park
    Pages 47-59

  4. A General Framework of Dealing with Qualitative Data in DEA: A Fuzzy Number Approach

    • Pei Huang Lin
    Pages 61-87

  5. Fuzzy Data Envelopment Analysis in Composite Indicator Construction

    • Yongjun Shen, Elke Hermans, Tom Brijs, Geert Wets
    Pages 89-100

  6. Cross-Efficiency in Fuzzy Data Envelopment Analysis (FDEA): Some Proposals

    • Inmaculada Sirvent, Teresa León
    Pages 101-116

  7. Fuzzy Mix-efficiency in Fuzzy Data Envelopment Analysis and Its Application

    • Jolly Puri, Shiv Prasad Yadav
    Pages 117-155

  8. Ranking of Fuzzy Efficiency Measures via Satisfaction Degree

    • M.-R. Ghasemi, Joshua Ignatius, S. M. Davoodi
    Pages 157-165

  9. Inexact Discretionary Inputs in Data Envelopment Analysis

    • Majid Zerafat Angiz Langroudi
    Pages 167-189

  10. Network Data Envelopment Analysis with Fuzzy Data

    • Chiang Kao
    Pages 191-206

  11. Network Fuzzy Data Envelopment Analysis

    • Sebastián Lozano, Plácido Moreno
    Pages 207-230

  12. An Application of Fuzzy Data Envelopment Analysis Approach for Occupational Safety

    • Esra Bas
    Pages 231-242

  13. Integrating Fuzzy Intermediate Factors in Supply Chain Efficiency Evaluation

    • Qiong Xia, Liang Liang, Feng Yang
    Pages 243-254

  14. Supplier Evaluation and Selection Using a FDEA Model

    • Atefeh Amindoust, Ali Saghafinia
    Pages 255-269

  15. Supplier Performance Evaluation Using a Hybrid Fuzzy Data Envelopment Analysis Approach

    • Anjali Awasthi, Khoshrow Noshad, Satyaveer Singh Chauhan
    Pages 271-285

  16. Back Matter

    Pages 287-288
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Editors and Affiliations

  • Operations and Information Management Group, Aston Business School, Aston University, Birmingham, United Kingdom

    Ali Emrouznejad

  • Business Systems and Analytics Department, La Salle University, Philadelphia, USA

    Madjid Tavana

Bibliographic Information

  • Book Title: Performance Measurement with Fuzzy Data Envelopment Analysis

  • Editors: Ali Emrouznejad, Madjid Tavana

  • Series Title: Studies in Fuzziness and Soft Computing

  • DOI: https://doi.org/10.1007/978-3-642-41372-8

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2014

  • Hardcover ISBN: 978-3-642-41371-1Published: 17 December 2013

  • Softcover ISBN: 978-3-662-50984-5Published: 27 August 2016

  • eBook ISBN: 978-3-642-41372-8Published: 29 November 2013

  • Series ISSN: 1434-9922

  • Series E-ISSN: 1860-0808

  • Edition Number: 1

  • Number of Pages: XIV, 288

  • Number of Illustrations: 38 b/w illustrations, 4 illustrations in colour

  • Topics: Computational Intelligence, Operations Research/Decision Theory

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