The Signed Distance Measure in Fuzzy Statistical Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Signed Distance Measure in Fuzzy Statistical Analysis write by Rédina Berkachy. This book was released on 2021. The Signed Distance Measure in Fuzzy Statistical Analysis available in PDF, EPUB and Kindle. 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
The Signed Distance Measure in Fuzzy Statistical Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Signed Distance Measure in Fuzzy Statistical Analysis write by Rédina Berkachy. This book was released on 2021-10-31. The Signed Distance Measure in Fuzzy Statistical Analysis available in PDF, EPUB and Kindle. 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.
Combining, Modelling and Analyzing Imprecision, Randomness and Dependence
Combining, Modelling and Analyzing Imprecision, Randomness and Dependence - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Combining, Modelling and Analyzing Imprecision, Randomness and Dependence write by Jonathan Ansari. This book was released on . Combining, Modelling and Analyzing Imprecision, Randomness and Dependence available in PDF, EPUB and Kindle.
Performance Measurement with Fuzzy Data Envelopment Analysis
Performance Measurement with Fuzzy Data Envelopment Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Performance Measurement with Fuzzy Data Envelopment Analysis write by Ali Emrouznejad. This book was released on 2013-11-29. Performance Measurement with Fuzzy Data Envelopment Analysis available in PDF, EPUB and Kindle. The intensity of global competition and ever-increasing economic uncertainties has led organizations to search for more efficient and effective ways to manage their business operations. Data envelopment analysis (DEA) has been widely used as a conceptually simple yet powerful tool for evaluating organizational productivity and performance. Fuzzy DEA (FDEA) is a promising extension of the conventional DEA proposed for dealing with imprecise and ambiguous data in performance measurement problems. This book is the first volume in the literature to present the state-of-the-art developments and applications of FDEA. It is designed for students, educators, researchers, consultants and practicing managers in business, industry, and government with a basic understanding of the DEA and fuzzy logic concepts.
Fuzzy Statistical Inferences Based on Fuzzy Random Variables
Fuzzy Statistical Inferences Based on Fuzzy Random Variables - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fuzzy Statistical Inferences Based on Fuzzy Random Variables write by Gholamreza Hesamian. This book was released on 2022-02-24. Fuzzy Statistical Inferences Based on Fuzzy Random Variables available in PDF, EPUB and Kindle. 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 statistical inferences in one place, based on fuzzy information including fuzzy data. This book covers a much wider range of topics than a typical introductory text on fuzzy statistics. It includes common topics like elementary probability, descriptive statistics, hypothesis tests, one-way ANOVA, control-charts, reliability systems and regression models. The reader is assumed to know calculus and a little fuzzy set theory. The conventional knowledge of probability and statistics is required. Key Features: Includes example in Mathematica and MATLAB. Contains theoretical and applied exercises for each section. Presents various popular methods for analyzing fuzzy data. The book is suitable for students and researchers in statistics, social science, engineering, and economics, and it can be used at graduate and P.h.D level.
