The Signed Distance Measure in Fuzzy Statistical Analysis

Theoretical, Empirical and Programming Advances de

Éditeur :

Springer


Collection :

Fuzzy Management Methods

Paru le : 2021-10-31

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Description

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.
Pages
346 pages
Collection
Fuzzy Management Methods
Parution
2021-10-31
Marque
Springer
EAN papier
9783030769154
EAN PDF
9783030769161

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
34
Taille du fichier
5243 Ko
Prix
126,59 €
EAN EPUB
9783030769161

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
34
Taille du fichier
20183 Ko
Prix
126,59 €