Statistical data are not always precise numbers, or vectors, or categories Real data are frequently what is called fuzzy Examples where this fuzziness is obvious are quality of life data, environmental, biological, medical, sociological and economics data Also the results of measurements can be best described by using fuzzy numbers and fuzzy vectors respectively.Statistical analysis methods have to be adapted for the analysis of fuzzy data In this book, the foundations of the description of fuzzy data are explained, including methods on how to obtain the characterizing function of fuzzy measurement results Further, statistical methods are then generalized to the analysis of fuzzy data and fuzzy a priori information.Key Features Provides basic methods for the mathematical description of fuzzy data, as well as statistical methods that can be used to analyze fuzzy data Describes methods of increasing importance with applications in areas such as environmental statistics and social science Complements the theory with exercises and solutions and is illustrated throughout with diagrams and examples Explores areas such quantitative description of data uncertainty and mathematical description of fuzzy data.This work is aimed at statisticians working with fuzzy logic, engineering statisticians, finance researchers, and environmental statisticians It is written for readers who are familiar with elementary stochastic models and basic statistical methods....
|Title||:||Statistical Methods for Fuzzy Data (Wiley Series in Probability and Statistics)|
|Publisher||:||Wiley Auflage 1 28 Januar 2011|
|Number of Pages||:||572 Pages|
|File Size||:||988 KB|
|Status||:||Available For Download|
|Last checked||:||21 Minutes ago!|
Statistical Methods for Fuzzy Data (Wiley Series in Probability and Statistics) Reviews
Ich benötige dieses Buch für ein Seminar an meiner Uni! Ich fand dieses Buch leicht verständlich und didaktisch gut aufgebaut!Es sind 253 Seiten und das einzige zu kritisieren an diesen Buch ist der Preis, welcher wirklich hoch ist!In Summe 4/5 Sterne wegen dem Preis!
I bought this book as I'm recently working on modelling some approximate data about consumers' psychology and hence, rather than searching and reading a large amount of papers, I'm looking for a book that gives me examples and applications on fuzzy data. Viertl's tends to give a broad but not detailed knowledge on dealing with fuzzy data. Four stars are given due to its coverage. What lets it down is that the book may have taken a too pure statistical approach missing out some examples and practical applications. I look forward to see more applications and examples in the second edition.