The Signed Distance Measure in Fuzzy Statistical Analysis

The Signed Distance Measure in Fuzzy Statistical Analysis
Author :
Publisher : Springer Nature
Total Pages : 356
Release :
ISBN-10 : 9783030769161
ISBN-13 : 303076916X
Rating : 4/5 (16X Downloads)

Book Synopsis The Signed Distance Measure in Fuzzy Statistical Analysis by : Rédina Berkachy

Download or read book The Signed Distance Measure in Fuzzy Statistical Analysis written by Rédina Berkachy and published by Springer Nature. This book was released on 2021-10-31 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


The Signed Distance Measure in Fuzzy Statistical Analysis Related Books

The Signed Distance Measure in Fuzzy Statistical Analysis
Language: en
Pages: 356
Authors: Rédina Berkachy
Categories: Computers
Type: BOOK - Published: 2021-10-31 - Publisher: Springer Nature

DOWNLOAD EBOOK

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
Combining, Modelling and Analyzing Imprecision, Randomness and Dependence
Language: en
Pages: 579
Authors: Jonathan Ansari
Categories:
Type: BOOK - Published: - Publisher: Springer Nature

DOWNLOAD EBOOK

Performance Measurement with Fuzzy Data Envelopment Analysis
Language: en
Pages: 293
Authors: Ali Emrouznejad
Categories: Technology & Engineering
Type: BOOK - Published: 2013-11-29 - Publisher: Springer

DOWNLOAD EBOOK

The intensity of global competition and ever-increasing economic uncertainties has led organizations to search for more efficient and effective ways to manage t
Fuzzy Statistical Inferences Based on Fuzzy Random Variables
Language: en
Pages: 313
Authors: Gholamreza Hesamian
Categories: Mathematics
Type: BOOK - Published: 2022-02-24 - Publisher: CRC Press

DOWNLOAD EBOOK

This book presents the most commonly used techniques for the most statistical inferences based on fuzzy data. It brings together many of the main ideas used in
Applying Fuzzy Logic for the Digital Economy and Society
Language: en
Pages: 217
Authors: Andreas Meier
Categories: Business & Economics
Type: BOOK - Published: 2019-02-28 - Publisher: Springer

DOWNLOAD EBOOK

This edited book presents the state-of-the-art of applying fuzzy logic to managerial decision-making processes in areas such as fuzzy-based portfolio management