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Soft Methods for Handling Variability and Imprecision

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Cover of 'Soft Methods for Handling Variability and Imprecision'

Table of Contents

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    Book Overview
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    Chapter 1 Imprecise Probabilistic Prediction for Categorical Data: From Bayesian Inference to the Imprecise Dirichlet-Multinomial Model
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    Chapter 2 Fuzzy Bayesian Inference
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    Chapter 3 Soft Methods for Treating Uncertainties: Applications in the Field of Environmental Risks
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    Chapter 4 Robert Féron: A Pioneer in Soft Methods for Probability and Statistics
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    Chapter 5 Relating Prototype Theory and Label Semantics
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    Chapter 6 Fuzzy Probabilities Based on the Likelihood Function
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    Chapter 7 Possibility Measures in Probabilistic Inference
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    Chapter 8 Non-well-Founded Probabilities on Streams
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    Chapter 9 Relating Epistemic Irrelevance to Event Trees
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    Chapter 10 Probability Revision, the Uniformity Rule, and the Chan–Darwiche Metric
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    Chapter 11 On Nonparametric Predictive Inference for Bernoulli Quantities with Set-Valued Data
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    Chapter 12 Inferring a Possibility Distribution from Very Few Measurements
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    Chapter 13 Statistics with Vague Data and the Robustness to Data Representation
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    Chapter 14 On a Linear Independence Test for Interval-Valued Random Sets
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    Chapter 15 A Small-Sample Nonparametric Independence Test for the Archimedean Family of Bivariate Copulas
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    Chapter 16 Defuzzification of Fuzzy p-Values
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    Chapter 17 Testing ‘Two-Sided’ Hypothesis about the Mean of an Interval-Valued Random Set
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    Chapter 18 Asymptotic Tests for the Variance of a Fuzzy Random Variable Using the D K -Metric
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    Chapter 19 Empirical Results Concerning a Fuzzy-Based Measure of Symmetry of Real Random Variables
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    Chapter 20 Fuzzy Kendall $\pmb\tau$ Statistic for Autocorrelated Data
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    Chapter 21 Mixture Model Estimation with Soft Labels
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    Chapter 22 Imprecise Functional Estimation: The Cumulative Distribution Case
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    Chapter 23 Non-parametric Density Estimation Based on Label Semantics
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    Chapter 24 Empirical Comparisons of Goodness-of-Fit Tests for Binomial Distributions Based on Fuzzy Representations
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    Chapter 25 A Generalization of Hukuhara Difference
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    Chapter 26 A Note about Bobylev’s Differential
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    Chapter 27 On Boundary Value Problems for Fuzzy Differential Equations
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    Chapter 28 On Fuzzy Sets Convolution, Fuzzy Lipschitz Sets and Triangular Fuzzy Sets of Rank p
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    Chapter 29 Generalised p-Boxes on Totally Ordered Spaces
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    Chapter 30 The F. Riesz Representation Theorem and Finite Additivity
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    Chapter 31 Set-Valued Stochastic Integrals with Respect to a Real Valued Martingale
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    Chapter 32 On Stochastic Differential Equations with Fuzzy Set Coefficients
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    Chapter 33 Strong Solution of Set-Valued Stochastic Differential Equation
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    Chapter 34 Convergences of Random Variables with Respect to Coherent Upper Probabilities Defined by Hausdorff Outer Measures
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    Chapter 35 On Convergence in Necessity and Its Laws of Large Numbers
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    Chapter 36 The Omnipresence of Cycle-Transitivity in the Comparison of Random Variables
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    Chapter 37 Geometry of Cores of Submodular Coherent Upper Probabilities and Possibility Measures
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    Chapter 38 On Transformations between Belief Spaces
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    Chapter 39 Lower and Upper Covariance
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    Chapter 40 Some Properties of the d K -Variance for Interval-Valued Random Sets
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    Chapter 41 Triangular Conorms on the Space of Non-decreasing Lists of Non-negative Real Numbers
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    Chapter 42 On Patchwork Techniques for 2-Increasing Aggregation Functions and Copulas
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    Chapter 43 A Hierarchical Fusion of Expert Opinion in the TBM
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    Chapter 44 Application of Non-convex Fuzzy Variables to Fuzzy Structural Analysis
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    Chapter 45 Handling Uncertainty in Higher Dimensions with Potential Clouds towards Robust Design Optimization
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    Chapter 46 Reliability of Structures under Consideration of Uncertain Time-Dependent Material Behaviour
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    Chapter 47 A New Insight into the Linguistic Summarization of Time Series Via a Degree of Support: Elimination of Infrequent Patterns
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    Chapter 48 An Autoregressive Model with Fuzzy Random Variables
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    Chapter 49 Tackling Multiple-Instance Problems in Safety-Related Domains by Quasilinear SVM
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    Chapter 50 An Efficient Normal Form Solution to Decision Trees with Lower Previsions
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    Chapter 51 Group Decision Making with Soft AHP Based on the Random Set View of Fuzzy Sets
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Title
Soft Methods for Handling Variability and Imprecision
Published by
Springer Berlin Heidelberg, October 2008
DOI 10.1007/978-3-540-85027-4
ISBNs
978-3-54-085026-7, 978-3-54-085027-4
Editors

Dubois, Didier, Lubiano, M. Asunción, Prade, Henri, Gil, María Ángeles, Grzegorzewski, Przemysław, Hryniewicz, Olgierd

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 6%
France 1 6%
Unknown 14 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 25%
Researcher 3 19%
Other 1 6%
Student > Doctoral Student 1 6%
Student > Bachelor 1 6%
Other 3 19%
Unknown 3 19%
Readers by discipline Count As %
Mathematics 3 19%
Computer Science 3 19%
Engineering 3 19%
Psychology 1 6%
Unspecified 1 6%
Other 2 13%
Unknown 3 19%