
Stock image for illustration purposes only - book cover, edition or condition may vary.
Statistical Methods for Fuzzy Data
Reinhard Viertl
€ 122.21
FREE Delivery in Ireland
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.
Read moreStatistical analysis methods have to...
Product 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)