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Statistical Modeling, Analysis and Management of Fuzzy Data Book

Statistical Modeling, Analysis and Management of Fuzzy Data
Statistical Modeling, Analysis and Management of Fuzzy Data, , Statistical Modeling, Analysis and Management of Fuzzy Data has a rating of 4 stars
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  • Statistical Modeling, Analysis and Management of Fuzzy Data
  • Written by author Carlo Bertoluzza
  • Published by Springer-Verlag New York, LLC, September 2007
  • 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
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Authors

Foreword
Preface
Contents
Pt. 1Fuzziness and Randomness
Fuzziness and randomness3
Pt. 2Fuzzy-Valued Random Elements
On the variance of random fuzzy variables25
f-inequality indices for fuzzy random variables43
Traditional techniques to prove some limit theorems for fuzzy random variables64
Convergence in graph for fuzzy valued martingales and smartingales72
Remarks on Korovkin-type approximation of fuzzy random variables90
Several notions of differentiability for fuzzy set-valued mappings104
Pt. 3Possibility, Probability and Fuzzy Measures
Average level of a fuzzy set119
Second order possibility measure induced by a fuzzy random variable127
Measure extension from meet-systems and falling measures representation145
The structure of fuzzy measure families induced by upper and lower probabilities160
Statistical classes and fuzzy set theoretical classification of probability distributions173
Pt. 4Statistics and Fuzzy Data Analysis
Statistics with one-dimensional fuzzy data199
Testing fuzzy hypotheses with vague data213
Possibilistic interpretation of fuzzy statistical tests226
Possibilistic regression analysis239
Linear regression in a fuzzy context. The least square method255
Linear regression with random fuzzy observations282
Index307


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