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Fuzzy Statistical Decision-Making

Theory and Applications
BuchGebunden
356 Seiten
Englisch
Springererschienen am26.07.20161st ed. 2016
The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including: fuzzy probability distributions, fuzzy frequency distributions, fuzzy Bayesian inference, fuzzy mean, mode and median, fuzzy dispersion, fuzzy p-value, and many others.mehr
Verfügbare Formate
BuchGebunden
EUR106,99
BuchKartoniert, Paperback
EUR106,99
E-BookPDF1 - PDF WatermarkE-Book
EUR96,29

Produkt

KlappentextThe respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including: fuzzy probability distributions, fuzzy frequency distributions, fuzzy Bayesian inference, fuzzy mean, mode and median, fuzzy dispersion, fuzzy p-value, and many others.
Zusammenfassung
Provides readers with the necessary tools for making inference with fuzzy data

Extends all the main aspects of classical statistical decision-making to its fuzzy counterpart

Includes relevant numerical examples and case studies

Includes supplementary material: sn.pub/extras
Details
ISBN/GTIN978-3-319-39012-3
ProduktartBuch
EinbandartGebunden
Verlag
Erscheinungsjahr2016
Erscheinungsdatum26.07.2016
Auflage1st ed. 2016
ReiheStudies in Fuzziness and Soft Computing
Seiten356 Seiten
SpracheEnglisch
Gewicht676 g
IllustrationenXII, 356 p. 84 illus., 5 illus. in color.
Artikel-Nr.37987290

Inhalt/Kritik

Inhaltsverzeichnis
Preface.- Fuzzy Statistical Decision Making.- Fuzzy Probability Theory I: Discrete Case.- Fuzzy Probability Theory II: Continuous Case.- On Fuzzy Bayesian Inference.- Fuzzy Central Tendency Measures.- Fuzzy Dispersion Measures.- Sufficiency, Completeness, and Unbiasedness based on Fuzzy Sample Space.- Fuzzy Confidence Regions.- Fuzzy Extensions of Confidence Intervals: Estimation for µ, Ï2, and p .- Testing Fuzzy Hypotheses: A New p-value-based Approach.- Fuzzy Regression Analysis : An Actuarial Perspective.- Fuzzy Correlation and Fuzzy Non-Linear Regression Analysis.- Fuzzy Decision Trees.- Fuzzy Shewhart Control Charts.- Fuzzy EWMA and Fuzzy CUSUM Control Charts.- Linear Hypothesis Testing Based on Unbiased Fuzzy Estimators and Fuzzy Significance Level.- A Practical Application of Fuzzy Analysis of Variance in Agriculture.- A Survey of Fuzzy Data Mining Techniques.mehr
Kritik
"The chapters are presented in intuitive, appealing manner and logical order, making the book as accessible to the widest possible readership. ... The book offers advanced methods in the field, useful practical examples and figures. The book contributes stimulating and substantial knowledge for the benefit of a host of research community and exhibits the use and practicality of the wonderful discipline statistical science. ... this book will be of interest to researchers in fuzzy statistics and related fields." (S. Ejaz Ahmed, Technometrics, Vol. 58, November, 2016)mehr

Schlagworte

Autor

Prof. Kahraman received his BSc (1988), MSc (1990), and PhD (1996) degrees in Industrial Engineering from the Istanbul Technical University. His main research areas include engineering economics, quality management and control, statistical decision making, and fuzzy sets applications. He has published about 150 papers in international journals and more than 5 books with Springer. He has served as guest editor of many special issues of international journals and is presently the Head of the Industrial Engineering department of the Istanbul Technical University. Dr. Özgür Kabak received his BSc (2001), MSc (2003), and PhD (2008) degrees in Industrial Engineering from the Istanbul Technical University. He is currently Assistant Professor of Industrial Engineering in the same University. His main research areas are fuzzy decision making, mathematical programming and statistical decision making.