Interval / Probabilistic Uncertainty and Non-classical Logics (häftad)
Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
376
Utgivningsdatum
2008-02-01
Upplaga
2008 ed.
Förlag
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Medarbetare
Nguyen, Hung T. (New Mexico State University) (red.)
Illustratör/Fotograf
61 schw-w Zeichn 79 schw-w Abb, 18 schw-w Fotos 39 schw-w Tabellen
Illustrationer
39 Tables, black and white; 79 Illustrations, black and white; XVIII, 376 p. 79 illus.
Antal komponenter
1
Komponenter
1 Paperback / softback
ISSN
1615-3871
ISBN
9783540776635
Interval / Probabilistic Uncertainty and Non-classical Logics (häftad)

Interval / Probabilistic Uncertainty and Non-classical Logics

Häftad Engelska, 2008-02-01
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This book contains the proceedings of the first International Workshop on Interval/Probabilistic Uncertainty and Non Classical Logics, Ishikawa, Japan, March 25-28, 2008. The workshop brought together researchers working on interval and probabilistic uncertainty and on non-classical logics. It is hoped this workshop will lead to a boost in the much-needed collaboration between the uncertainty analysis and non-classical logic communities, and thus, to better processing of uncertainty.
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Innehållsförteckning

Keynote Addresses.- An Algebraic Approach to Substructural Logics - An Overview.- On Modeling of Uncertainty Measures and Observed Processes.- Statistics under Interval Uncertainty and Imprecise Probability.- Fast Algorithms for Computing Statistics under Interval Uncertainty: An Overview.- Trade-Off between Sample Size and Accuracy: Case of Static Measurements under Interval Uncertainty.- Trade-Off between Sample Size and Accuracy: Case of Dynamic Measurements under Interval Uncertainty.- Estimating Quality of Support Vector Machines Learning under Probabilistic and Interval Uncertainty: Algorithms and Computational Complexity.- Imprecise Probability as an Approach to Improved Dependability in High-Level Information Fusion.- Uncertainty Modelling and Reasoning in Knowledge-Based Systems.- Label Semantics as a Framework for Granular Modelling.- Approximating Reasoning for Fuzzy-Based Information Retrieval.- Probabilistic Constraints for Inverse Problems.- The Evidential Reasoning Approach for Multi-attribute Decision Analysis under Both Fuzzy and Interval Uncertainty.- Modelling and Computing with Imprecise and Uncertain Properties in Object Bases.- Rough Sets and Belief Functions.- Several Reducts in Dominance-Based Rough Set Approach.- Topologies of Approximation Spaces of Rough Set Theory.- Uncertainty Reasoning in Rough Knowledge Discovery.- Semantics of the Relative Belief of Singletons.- A Lattice-Theoretic Interpretation of Independence of Frames.- Non-classical Logics.- Completions of Ordered Algebraic Structures: A Survey.- The Algebra of Truth Values of Type-2 Fuzzy Sets: A Survey.- Some Properties of Logic Functions over Multi-interval Truth Values.- Possible Semantics for a Common Framework of Probabilistic Logics.- A Unified Formulation of Deduction, Induction and Abduction Using Granularity Based on VPRS Models and Measure-Based Semantics for Modal Logics.- Information from Inconsistent Knowledge: A Probability Logic Approach.- Fuzziness and Uncertainty Analysis in Applications.- Personalized Recommendation for Traditional Crafts Using Fuzzy Correspondence Analysis with Kansei Data and OWA Operator.- A Probability-Based Approach to Consumer Oriented Evaluation of Traditional Craft Items Using Kansai Data.- Using Interval Function Approximation to Estimate Uncertainty.- Interval Forecasting of Crude Oil Price.- Automatic Classification for Decision Making of the Severeness of the Acute Radiation Syndrome.