Information, Uncertainty and Fusion

Table of Contents

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   Book Overview
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   Chapter 1 Revision by Translation
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   Chapter 2 Ambiguous Implications in Knowledge-Based Systems Described by Entity-Characteristic Tables
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   Chapter 3 Functional Dependencies and the Design of Relational Databases Involving Imprecise Data
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   Chapter 4 A Query Construct for Paraconsistent Databases
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   Chapter 5 Fuzzy classificatory object recognition for crisis detection
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   Chapter 6 An approach to using degrees of belief in BDI agents
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   Chapter 7 Representation of Comonotonically Additive Functional by Choquet Integral
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   Chapter 8 On Lower and Upper Approximation of Fuzzy Measures by k -Order Additive Measures
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    Chapter 9 Generated Fuzzy Quantities and Their Orderings
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    Chapter 10 On neurofuzzy and fuzzy decision tree approaches
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    Chapter 11 A Fuzzy Extension to a Temporal Parsimonious Covering Theory
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    Chapter 12 Probabilities of Future Decisions
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    Chapter 13 Representational Issues for Risk Scenarios
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    Chapter 14 Zero probabilities in stochastic independence
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    Chapter 15 Computing the Probability of Formulas Representing Events in Product Spaces
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    Chapter 16 Uncertainty Handling for Distributed Database Integration and Knowledge Discovery
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    Chapter 17 A Rule-based Language for Probabilistic Reasoning
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    Chapter 18 Deriving Possibility Distributions from Data Sets using Confidence Intervals of Probabilities
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    Chapter 19 Fuzzy random variables-based modeling with GA-P algorithms
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    Chapter 20 A Seasonal Streamflow Forecasting Model Using Neurofuzzy Network
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    Chapter 21 Allowing Imprecision in Belief Representation using Fuzzy-Valued Belief Structures
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    Chapter 22 A Transformational Approach to Fuzzy Propositions
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    Chapter 23 Four-Valued Logics for Reasoning with Uncertainty in Prioritized Data
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    Chapter 24 A mathematical model for fuzzy connectives and its application to operators behavioural study
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    Chapter 25 Invariance Properties of OWA Operators
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    Chapter 26 Aggregation operators as similarity relations
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    Chapter 27 Semantic Meaning of Fuzzy Control Models and Heterogeneous Aggregation Operators
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    Chapter 28 Maxitive Fuzzy Preference Structures
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    Chapter 29 Directed possibilistic graphs and possibilistic logic
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    Chapter 30 A logic of supporters
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    Chapter 31 Building Argumentation Systems on Set Constraint Logic
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    Chapter 32 Genetic Fuzzy C-Means Algorithm for Automatic Generation of Fuzzy Partitions
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    Chapter 33 Fast Dempster-Shafer Clustering Using a Neural Network Structure
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    Chapter 34 Distribution of Contradictive Belief Masses in Combination of Belief Functions
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    Chapter 35 Relationships Among Ordinal Relations on a Finite Set of Events