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Statistical Methods for Fuzzy Data
Reinhard Viertl
€ 127.24
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Description for Statistical Methods for Fuzzy Data
Fuzzy logic provides a simple way to arrive at a definite conclusion based upon vague, ambiguous, imprecise, noisy, or missing input information. Statistical Methods for Fuzzy Data deftly explains the basics of fuzzy logic and the use of statistical methods for fuzzy data sets. Series: Wiley Series in Probability and Statistics. Num Pages: 268 pages, Illustrations. BIC Classification: PBCD; PBT. Category: (P) Professional & Vocational. Dimension: 234 x 157 x 20. Weight in Grams: 536.
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 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. Furthermore, statistical methods are then generalized ... Read more
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.
Show LessProduct Details
Publication date
2011
Publisher
John Wiley and Sons Ltd United States
Number of pages
268
Condition
New
Series
Wiley Series in Probability and Statistics
Number of Pages
268
Format
Hardback
Place of Publication
New York, United States
ISBN
9780470699454
SKU
V9780470699454
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Reinhard Viertl
Reinhard Viertl is Professor of Applied Statistics at Vienna University of Technology. Professor Viertl has been working on statistical analysis of fuzzy data for about 20 years. He is the author of various publications including 5 books and more than 100 papers.
Reviews for Statistical Methods for Fuzzy Data
“I recommend this book to anyone interested in exploring new approaches to the extraction of information from novel data sources.” (International Statistical Review, 2012)