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Image of The Signed Distance Measure in Fuzzy Statistical Analysis

Electronic Resource

The Signed Distance Measure in Fuzzy Statistical Analysis

Berkachy, Rédina - Personal Name;

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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.


Availability
Inventory Code Barcode Call Number Location Status
2108000462EB0005211511.3 Ber tCentral Library (OPAC)Available
Detail Information
Series Title
Fuzzy Management Methods
Call Number
511.3 Ber t
Publisher
Switzerland : Springer Cham., 2021
Collation
xxiiii, 346p.:ill
Language
English
ISBN/ISSN
978-3-030-76916-1
Classification
511.3
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Matematical Logic
Specific Detail Info
-
Statement of Responsibility
BRF
Other version/related

No other version available

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  • The Signed Distance Measure in Fuzzy Statistical Analysis
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