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Soft Methods for Integrated Uncertainty Modelling
von: Jonathan Lawry, Enrique Miranda, Alberto Bugarin, Shoumei Li, Maria Angeles Gil, Przemys aw Grzegorz
Springer-Verlag, 2007
ISBN: 9783540347774 , 413 Seiten
Format: PDF
Kopierschutz: Wasserzeichen
Preis: 149,79 EUR
Preface
6
Contents
8
Keynote Papers
12
Generalized Theory of Uncertainty (GTU) – Principal Concepts and Ideas
13
Reasoning with Vague Probability Assessments
15
Soft Methods in Earth Systems Engineering
17
Statistical Data Processing under Interval Uncertainty: Algorithms and Computational Complexity
21
Soft Methods in Statistics and Random Information Systems
37
On Testing Fuzzy Independence
38
Variance Decomposition of Fuzzy Random Variables
46
Fuzzy Histograms and Density Estimation
54
Graded Stochastic Dominance as a Tool for Ranking the Elements of a Poset
62
On Neyman-Pearson Lemma for Crisp, Random and Fuzzy Hypotheses
70
Fuzzy Probability Distributions Induced by Fuzzy Random Vectors
79
On the Identifiability of TSK Additive Fuzzy Rule- Based Models
87
An Asymptotic Test for Symmetry of Random Variables Based on Fuzzy Tools
95
Exploratory Analysis of Random Variables Based on Fuzzifications
103
A Method to Simulate Fuzzy Random Variables
111
Friedman’s Test for Ambiguous and Missing Data
119
Probability of Imprecisely-Valued Random Elements with Applications
127
Measure-Free Martingales with Application to Classical Martingales
128
A Note on Random Upper Semicontinuous Functions
136
Optional Sampling Theorem and Representation of Set- Valued Amart
143
On a Choquet Theorem for Random Upper Semicontinuous Functions
150
A General Law of Large Numbers, with Applications
157
Applications and Modelling of Imprecise Operators
165
Fuzzy Production Planning Model for Automobile Seat Assembling
166
Optimal Selection of Proportional Bounding Quantifiers in Linguistic Data Summarization
175
A Linguistic Quantifier Based Aggregation for a Human Consistent Summarization of Time Series
184
Efficient Evaluation of Similarity Quantified Expressions in the Temporal Domain
192
Imprecise Probability Theory
200
Conditional Lower Previsions for Unbounded Random Quantities
201
Extreme Lower Probabilities
210
Equivalence Between Bayesian and Credal Nets on an Updating Problem
221
Varying Parameter in Classification Based on Imprecise Probabilities
229
Comparing Proportions Data with Few Successes
238
A Unified View of Some Representations of Imprecise Probabilities
246
Possibility, Evidence and Interval Methods
255
Estimating an Uncertain Probability Density
256
Theory of Evidence with Imperfect Information
261
Conditional IF-probability
269
On TwoWays for the Probability Theory on IF-sets
278
A Stratification of Possibilistic Partial Explanations
284
Finite Discrete Time Markov Chains with Interval Probabilities
292
Evidence and Compositionality
300
High Level Fuzzy Labels for Vague Concepts
309
Integrated Uncertainty Modelling in Applications
317
Possibilistic Channels for DNA Word Design
318
Transformation of Possibility Functions in a Climate Model of Intermediate Complexity
327
Fuzzy Logic for Stochastic Modeling
336
A CUSUM Control Chart for Fuzzy Quality Data
345
A Fuzzy Synset-Based Hidden Markov Model for Automatic Text Segmentation
353
Applying Fuzzy Measures for Considering Interaction Effects in Fine Root Dispersal Models
361
Scoring Feature Subsets for Separation Power in Supervised Bayes Classification
370
Interval Random Variables and Their Application in Queueing Systems with Long– Tailed Service Times
379
Online Learning for Fuzzy Bayesian Prediction
390
Index
398
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