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Fuzzy Management Methods
cover

The Signed Distance Measure in Fuzzy Statistical Analysis

Theoretical, Empirical and Programming Advances

Authors: Berkachy, Rédina

  • Provides a didactical approach to advanced fuzzy statistical methods, together with examples and illustrations
  • Compares fuzzy statistical approaches with standard classical approaches
  • Addresses theoretical advances, applications and programming tools
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書籍の購入

イーブック ¥13,727
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • イーブック版は、まもなく発売予定です。
  • 予定日: September 24, 2021
  • ISBN 978-3-030-76916-1
  • ウォーターマーク付、 DRMフリー
  • ファイル形式:
  • ebooks can be used on all reading devices
ハードカバー ¥17,159
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • 予定日: September 24, 2021
  • ISBN 978-3-030-76915-4
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
この書籍について

The main focus of this book is on presenting advances in fuzzy statistics, and on proposing a methodology for testing hypotheses in the fuzzy environment based on the estimation of fuzzy confidence intervals, a context in which not only the data but also the hypotheses are considered to be fuzzy. The proposed method for estimating these intervals is based on the likelihood method and employs the bootstrap technique. A new metric generalizing the signed distance measure is also developed. In turn, the book presents two conceptually diverse applications in which defended intervals play a role: one is a novel methodology for evaluating linguistic questionnaires developed at the global and individual levels; the other is an extension of the multi-ways analysis of variance to the space of fuzzy sets. To illustrate these approaches, the book presents several empirical and simulation-based studies with synthetic and real data sets. In closing, it presents a coherent R package called “FuzzySTs” which covers all the previously mentioned concepts with full documentation and selected use cases. Given its scope, the book will be of interest to all researchers whose work involves advanced fuzzy statistical methods.

著者について

Dr. Rédina Berkachy is a Senior Researcher at the Applied Statistics and Modelling (ASAM) group at the Department of Informatics, Faculty of Management, Economics and Social Sciences of the University of Fribourg, and a Senior Lecturer at the School of Engineering and Architecture of Fribourg of the University of Applied Sciences and Arts Western Switzerland. She holds a BSc in Mathematics from the Lebanese University (Lebanon), a MSc in Numerical Analysis and Mathematical Modelling from the Saint-Joseph University of Beirut (Lebanon), and a PhD in Statistics from the University of Fribourg (Switzerland). Her main research interests are fuzzy statistics and their applications, fuzzy decision making and mathematical and statistical modelling. She is also an R developer and the author of FuzzySTs package available on CRAN. 

書籍の購入

イーブック ¥13,727
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • イーブック版は、まもなく発売予定です。
  • 予定日: September 24, 2021
  • ISBN 978-3-030-76916-1
  • ウォーターマーク付、 DRMフリー
  • ファイル形式:
  • ebooks can be used on all reading devices
ハードカバー ¥17,159
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • 予定日: September 24, 2021
  • ISBN 978-3-030-76915-4
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
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書誌情報

Bibliographic Information
Book Title
The Signed Distance Measure in Fuzzy Statistical Analysis
Book Subtitle
Theoretical, Empirical and Programming Advances
Authors
Series Title
Fuzzy Management Methods
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
イーブック ISBN
978-3-030-76916-1
DOI
10.1007/978-3-030-76916-1
ハードカバー ISBN
978-3-030-76915-4
Series ISSN
2196-4130
Edition Number
1
Number of Pages
XXVII, 342
Number of Illustrations
15 b/w illustrations, 55 illustrations in colour
Topics