Soft methods for handling variability and imprecision

Probability theory has been the only well-founded theory of uncertainty for a long time. It was viewed either as a powerful tool for modelling random phenomena, or as a rational approach to the notion of degree of belief. During the last thirty years, in areas centered around decision theory, artifi...

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Diğer Yazarlar: Kacprzyk, Janusz, 1947- (Yayın yönetmeni), Dubois, Didier, 1952-...., chercheur en informatique (Yayın yönetmeni), Gil, María Ángeles (Yayın yönetmeni), Grzegorzewski, Przemysław (Yayın yönetmeni), Hryniewicz, Olgierd (Yayın yönetmeni), Lubiano, María Asunción, 19..- (Yayın yönetmeni), Prade, Henri, 1953-...., chercheur en informatique (Yayın yönetmeni)
Materyal Türü: Livre numérique
Dil:Anglais
Baskı/Yayın Bilgisi: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Seri Bilgileri:Advances in Soft Computing 48
Advances in Intelligent and Soft Computing 48
Online Erişim:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Not: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Soft methods for handling variability and imprecision, Didier Dubois, M. Asuncion Lubiano, Henri Prade... [et al.] eds, Berlin, Springer Verlag, 2008, 1 vol. (XXII-436 p.), Advances in soft computing, 978-3-540-85026-7
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245 0 0 |a Soft methods for handling variability and imprecision   |c edited by J. Kacprzyk, Didier Dubois, María Asunción Lubiano, Henri Prade, Maria Angeles Gil, Przemysāw Grzegorzewski, Olgierd Hryniewicz. 
260 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg. 
260 |a Cham :  |b Springer Nature,  |c [20..]. 
490 0 |a Advances in Soft Computing  |v 48  |x 1615-3871 
490 0 |a Advances in Intelligent and Soft Computing  |v 48  |x 1867-5662 
500 |a Archives Springer e-books (Licence nationale) 
500 |a Archives Springer e-books (Licence nationale) 
505 1 |a Invited Papers Imprecise Probabilistic Prediction for Categorical Data: From Bayesian Inference to the Imprecise Dirichlet-Multinomial Model Fuzzy Bayesian Inference Soft Methods for Treating Uncertainties: Applications in the Field of Environmental Risks Robert Féron: A Pioneer in Soft Methods for Probability and Statistics Foundations Relating Prototype Theory and Label Semantics Fuzzy Probabilities Based on the Likelihood Function Possibility Measures in Probabilistic Inference Non-well-Founded Probabilities on Streams Relating Epistemic Irrelevance to Event Trees Probability Revision, the Uniformity Rule, and the Chan Darwiche Metric Statistical Methods On Nonparametric Predictive Inference for Bernoulli Quantities with Set-Valued Data Inferring a Possibility Distribution from Very Few Measurements Statistics with Vague Data and the Robustness to Data Representation On a Linear Independence Test for Interval-Valued Random Sets A Small-Sample Nonparametric Independence Test for the Archimedean Family of Bivariate Copulas Defuzzification of Fuzzy p-Values Testing Two-Sided Hypothesis about the Mean of an Interval-Valued Random Set Asymptotic Tests for the Variance of a Fuzzy Random Variable Using the D K -Metric Empirical Results Concerning a Fuzzy-Based Measure of Symmetry of Real Random Variables Fuzzy Kendall Statistic for Autocorrelated Data Mixture Model Estimation with Soft Labels Imprecise Functional Estimation: The Cumulative Distribution Case Non-parametric Density Estimation Based on Label Semantics Empirical Comparisons of Goodness-of-Fit Tests for Binomial Distributions Based on Fuzzy Representations Mathematical Aspects A Generalization of Hukuhara Difference A Note about Bobylev s Differential On Boundary Value Problems for Fuzzy Differential Equations On Fuzzy Sets Convolution, Fuzzy Lipschitz Sets and Triangular Fuzzy Sets of Rank p Generalised p-Boxes on Totally Ordered Spaces The F. Riesz Representation Theorem and Finite Additivity Set-Valued Stochastic Integrals with Respect to a Real Valued Martingale On Stochastic Differential Equations with Fuzzy Set Coefficients Strong Solution of Set-Valued Stochastic Differential Equation Convergences of Random Variables with Respect to Coherent Upper Probabilities Defined by Hausdorff Outer Measures On Convergence in Necessity and Its Laws of Large Numbers The Omnipresence of Cycle-Transitivity in the Comparison of Random Variables Geometry of Cores of Submodular Coherent Upper Probabilities and Possibility Measures On Transformations between Belief Spaces Lower and Upper Covariance Some Properties of the d K -Variance for Interval-Valued Random Sets Triangular Conorms on the Space of Non-decreasing Lists of Non-negative Real Numbers On Patchwork Techniques for 2-Increasing Aggregation Functions and Copulas Engineering A Hierarchical Fusion of Expert Opinion in the TBM Application of Non-convex Fuzzy Variables to Fuzzy Structural Analysis Handling Uncertainty in Higher Dimensions with Potential Clouds towards Robust Design Optimization Reliability of Structures under Consideration of Uncertain Time-Dependent Material Behaviour 
506 |a Accès en ligne pour les établissements français bénéficiaires des licences nationales 
506 |a Accès soumis à abonnement pour tout autre établissement 
506 |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 
520 |a Probability theory has been the only well-founded theory of uncertainty for a long time. It was viewed either as a powerful tool for modelling random phenomena, or as a rational approach to the notion of degree of belief. During the last thirty years, in areas centered around decision theory, artificial intelligence and information processing, numerous approaches extending or orthogonal to the existing theory of probability and mathematical statistics have come to the front. The common feature of those attempts is to allow for softer or wider frameworks for taking into account the incompleteness or imprecision of information. Many of these approaches come down to blending interval or fuzzy interval analysis with probabilistic methods. This book gathers contributions to the 4th International Conference on Soft methods in Probability and Statistics. Its aim is to present recent results illustrating such new trends that enlarge the statistical and uncertainty modeling traditions, towards the handling of incomplete or subjective information. It covers a broad scope ranging from philosophical and mathematical underpinnings of new uncertainty theories, with a stress on their impact in the area of statistics and data analysis, to numerical methods and applications to environmental risk analysis and mechanical engineering. A unique feature of this collection is to establish a dialogue between fuzzy random variables and imprecise probability theories 
700 1 |a Kacprzyk, Janusz,  |d 1947-  |4 pbd 
700 1 |a Dubois, Didier,  |d 1952-....,  |c chercheur en informatique.  |4 pbd 
700 1 |a Gil, María Ángeles.  |4 pbd 
700 1 |a Grzegorzewski, Przemysław.  |4 pbd 
700 1 |a Hryniewicz, Olgierd.  |4 pbd 
700 1 |a Lubiano, María Asunción,  |d 19..-  |4 pbd 
700 1 |a Prade, Henri,  |d 1953-....,  |c chercheur en informatique.  |4 pbd 
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