Fuzzy Statistical Decision-Making

Theory and Applications

  • Cengiz Kahraman
  • Özgür Kabak

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 343)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Cengiz Kahraman, Özgür Kabak
    Pages 1-12
  3. I. Burak Parlak, A. Cağrı Tolga
    Pages 13-34
  4. A. Cağrı Tolga, I. Burak Parlak
    Pages 35-54
  5. Reinhard Viertl, Owat Sunanta
    Pages 55-64
  6. Cengiz Kahraman, İrem Uçal Sarı
    Pages 65-83
  7. İrem Uçal Sarı, Cengiz Kahraman, Özgür Kabak
    Pages 85-99
  8. Mohsen Arefi, S. Mahmoud Taheri
    Pages 101-118
  9. Reinhard Viertl, Shohreh Mirzaei Yeganeh
    Pages 119-127
  10. Cengiz Kahraman, Irem Otay, Başar Öztayşi
    Pages 129-154
  11. Abbas Parchami, S. Mohmoud Taheri, Bahram Sadeghpour Gildeh, Mashaallah Mashinchi
    Pages 155-173
  12. Jorge de Andrés-Sánchez
    Pages 175-201
  13. Murat Alper Basaran, Biagio Simonetti, Luigi D’Ambra
    Pages 203-220
  14. Ayca Altay, Didem Cinar
    Pages 221-261
  15. Cengiz Kahraman, Murat Gülbay, Eda Boltürk
    Pages 263-280
  16. Nihal Erginel, Sevil Şentürk
    Pages 281-295
  17. R. Ivani, S. H. Sanaei Nejad, B. Ghahraman, A. R. Astaraei, H. Feizi
    Pages 315-327
  18. Tzung-Pei Hong, Chun-Hao Chen, Jerry Chun-Wei Lin
    Pages 329-354
  19. Back Matter
    Pages 355-356

About this book


This book offers a comprehensive reference guide to fuzzy statistics and fuzzy decision-making techniques. It provides readers with all the necessary tools for making statistical inference in the case of incomplete information or insufficient data, where classical statistics cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including: fuzzy probability distributions, fuzzy frequency distributions, fuzzy Bayesian inference, fuzzy mean, mode and median, fuzzy dispersion, fuzzy p-value, and many others. To foster a better understanding, all the chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on fuzzy statistics. Moreover, by extending all the main aspects of classical statistical decision-making to its fuzzy counterpart, the book presents a dynamic snapshot of the field that is expected to stimulate new directions, ideas and developments.


Fuzzy Mean Fuzzy Median Fuzzy Mode Fuzzy P-Value Fuzzy Hypothesis Fuzzy Decision Trees Fuzzy Correlation Fuzzy Random Variable (FRV) Fuzzy Continuous Distributions Fuzzy Frequency Distributions Fuzzy Numbers Fuzzy Probability Density Function Fuzzy Bayesian Inference Fuzzy Variance Fuzzy Standard Deviation UMVU Estimators Fuzzy Control Charts Fuzzy Data Mining Intuitionistic Fuzzy Sets

Editors and affiliations

  • Cengiz Kahraman
    • 1
  • Özgür Kabak
    • 2
  1. 1.Management Faculty, Industrial Engineering DepartmentIstanbul Technical UniversityIstanbulTurkey
  2. 2.Management Facult, Industrial Engineering DepartmentIstanbul Technical UniversityIstanbulTurkey

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-39012-3
  • Online ISBN 978-3-319-39014-7
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site
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