Overview
- Presents the funfamentals of statistics with fuzzy data
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 198)
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Table of contents (9 chapters)
Keywords
About this book
This research monograph presents basic foundational aspects for a theory of statistics with fuzzy data, together with a set of practical applications. Fuzzy data are modeled as observations from random fuzzy sets. Theories of fuzzy logic and of random closed sets are used as basic ingredients in building statistical concepts and procedures in the context of imprecise data, including coarse data analysis. The monograph also aims at motivating statisticians to look at fuzzy statistics to enlarge the domain of applicability of statistics in general.
Hung T. Nguyen is a professor of Mathematical Sciences at New Mexico State University, USA.
Berlin Wu is a professor of Mathematical Sciences at National Chengchi University, Taipei, Taiwan.
Bibliographic Information
Book Title: Fundamentals of Statistics with Fuzzy Data
Authors: Hung Nguyen, Berlin Wu
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/11353492
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2006
Hardcover ISBN: 978-3-540-31695-4Published: 20 March 2006
Softcover ISBN: 978-3-642-06857-7Published: 30 November 2010
eBook ISBN: 978-3-540-31697-8Published: 28 February 2006
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: X, 196
Topics: Probability Theory and Stochastic Processes, Mathematical and Computational Engineering, Artificial Intelligence, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Applications of Mathematics