文档介绍：Reinhard Viertl
Statistical
Fuzzy Data Fuzzy
Methods for Methods
VIERTL Statistical Methods for Fuzzy Data
Complements the theory with exercises and solutions and is plements the theory with exercises description of data uncertainty and Explores areas such as quantitative
Provides basic methods for the mathematical description of fuzzy data, Provides basic methods for the mathematical with applications in areas Describes methods of increasing importance
throughout with diagrams and examples. data. mathematical description of fuzzy
as well as statistical methods that can be used to analyze fuzzy data. as well as statistical methods that social science. such as environmental statistics and
This book is aimed at statisticians working with fuzzy logic, engineering This book is aimed at statisticians environmental statisticians. The book statisticians, finance researchers, and with elementary stochastic models and is written for readers who are familiar basic statistical methods.
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Vienna University of Technology, Austria Viertl, ViennaReinhard of Technology, University vectors, or categories. not always precise numbers, or Statistical data are where this fuzziness Examples what is called fuzzy. Real data are frequently biological, medical, of life data, environmental, is obvious are quality measurements can be economics data. Also the results of sociological and respectively. using fuzzy numbers and fuzzy vectors best described by the analysis of fuzzy methods have to be adapted for Statistical analysis of fuzzy data are the foundations of the description data. In this book characterizing function methods on how to obtain the explained, including statistical methods are then of fuzzy measurement results. Furthermore, data and fuzzy a-priori information. generalized to the analysis of fuzzy features: Key
Statistical Methods for for Methods Statistical Data Fuzzy
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