Statistical Modeling, Analysis and Management of Fuzzy Data
Editors: Bertoluzza, Carlo, Gil, Maria A., Ralescu, Dan A. (Eds.)
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- About this book
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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.
- Table of contents (18 chapters)
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Fuzziness and randomness
Pages 3-21
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On the variance of random fuzzy variables
Pages 25-42
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f-inequality indices for fuzzy random variables
Pages 43-63
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Traditional techniques to prove some limit theorems for fuzzy random variables
Pages 64-71
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Convergence in graph for fuzzy valued martingales and smartingales
Pages 72-89
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Table of contents (18 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Statistical Modeling, Analysis and Management of Fuzzy Data
- Editors
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- Carlo Bertoluzza
- Maria A. Gil
- Dan A. Ralescu
- Series Title
- Studies in Fuzziness and Soft Computing
- Series Volume
- 87
- Copyright
- 2002
- Publisher
- Physica-Verlag Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- eBook ISBN
- 978-3-7908-1800-0
- DOI
- 10.1007/978-3-7908-1800-0
- Hardcover ISBN
- 978-3-7908-1440-8
- Softcover ISBN
- 978-3-7908-2501-5
- Series ISSN
- 1434-9922
- Edition Number
- 1
- Number of Pages
- XIV, 309
- Topics
