Statistical Modeling, Analysis and Management of Fuzzy Data

• Corporate Author: SpringerLink (Online service)
• Other Authors: Bertoluzza, Carlo (Editor, http://id.loc.gov/vocabulary/relators/edt), Gil, Maria A. (Editor, http://id.loc.gov/vocabulary/relators/edt), Ralescu, Dan A. (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Heidelberg : Physica-Verlag HD : Imprint: Physica, 2002.
• Edition: 1st ed. 2002.
• Series: Studies in Fuzziness and Soft Computing, 87
• Subjects: Statistics .; Artificial intelligence.; Probabilities.; Statistics and Computing/Statistics Programs.; Artificial Intelligence.; Probability Theory and Stochastic Processes.
• Physical Description: XIV, 309 p. online resource.
• ISBN: 9783790818000
• ISSN: 1434-9922 ;
• DOI: 10.1007/978-3-7908-1800-0

The contributions in this book connect Probability Theory/Statistics and Fuzzy Set Theory in different ways. Some of these connections are either philosophical or theoretical in nature, but most of them state models and methods to work with fuzzy data (or fuzzy perception) when dealing with random experiments. In this way, several probabilistic studies are developed, as well as techniques and criteria to get descriptive and inferential statistical conclusions from fuzzy data. On the other hand, some studies have been devoted to fuzzy measures and their relationship with measures in Probability Theory.