This comprehensive book highlights soft computing and geostatistics applications in hydrocarbon exploration and production, combining practical and theoretical aspects. It spans a wide spectrum of applications in the oil industry, crossing many discipline boundaries such as geophysics, geology, pet
Strengthening Links Between Data Analysis and Soft Computing
β Scribed by Przemyslaw Grzegorzewski, Marek Gagolewski, Olgierd Hryniewicz, MarΓa Γngeles Gil (eds.)
- Publisher
- Springer International Publishing
- Year
- 2015
- Tongue
- English
- Leaves
- 294
- Series
- Advances in Intelligent Systems and Computing 315
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book gathers contributions presented at the 7th International Conference on Soft Methods in Probability and Statistics SMPS 2014, held in Warsaw (Poland) on September 22-24, 2014. Its aim is to present recent results illustrating new trends in intelligent data analysis. It gives a comprehensive overview of current research into the fusion of soft computing methods with probability and statistics.
Synergies of both fields might improve intelligent data analysis methods in terms of robustness to noise and applicability to larger datasets, while being able to efficiently obtain understandable solutions of real-world problems.
β¦ Table of Contents
Front Matter....Pages 1-12
Front Matter....Pages 1-1
Deciding under Ignorance: In Search of Meaningful Extensions of the Hurwicz Criterion to Decision Trees....Pages 3-11
Comparison of Fuzzy and Crisp Random Variables by Monte Carlo Simulations....Pages 13-20
Stochastic Orders for Fuzzy Random Variables....Pages 21-28
Interval Compositional Data: Problems and Possibilities....Pages 29-36
A New Definition of Evaluation/Defuzzification of an Interval Type-2 Fuzzy Set....Pages 37-45
Connecting Interval-Valued Fuzzy Sets with Imprecise Probabilities....Pages 47-54
On Incomplete Label Ranking with IF-sets....Pages 55-62
On the Continuity of Probability on IF Sets....Pages 63-70
Bayesian Updating under Incomplete or Imprecise Information in Finite Spaces....Pages 71-78
Forecasting Short Time Series with the Bayesian Autoregression and the Soft Computing Prior Information....Pages 79-86
Learning Structure of Bayesian Networks by Using Possibilistic Upper Entropy....Pages 87-95
On Fuzzy Equations with 2 Γ2 Matrices....Pages 97-103
Fuzzy and Set-Valued Stochastic Differential Equations with Solutions of Decreasing Fuzziness....Pages 105-112
Front Matter....Pages 113-113
An Approximation to the Small Sample Distribution of the Trimmed Mean for Gaussian Mixture Models....Pages 115-122
Empirical Sensitivity Analysis on the Influence of the Shape of Fuzzy Data on the Estimation of Some Statistical Measures....Pages 123-131
On the Robustness of Absolute Deviations with Fuzzy Data....Pages 133-141
The Wabl/Ldev/Rdev Median of a Random Fuzzy Number and Statistical Properties....Pages 143-150
Chi-Square Test for Homogeneity with Fuzzy Data....Pages 151-158
On Comparison of Distorted Histograms....Pages 159-166
The Fuzzy Representation of Prior Information for Separating Outliers in Statistical Experiments....Pages 167-174
Front Matter....Pages 113-113
Similarity Test for the Expectation of a Random Interval and a Fixed Interval....Pages 175-182
Front Matter....Pages 183-183
Lasso Estimation of an Interval-Valued Multiple Regression Model....Pages 185-191
A Bootstrap Factorial ANOVA for Random Intervals....Pages 193-200
Estimation of a Simple Multivariate Linear Model for Fuzzy Random Sets....Pages 201-208
Cluster Analysis of Time Series via Kendall Distribution....Pages 209-216
Connectedness Measures of Spatial Contagion in the Banking and Insurance Sector....Pages 217-224
Fuzzy Double Clustering: A Robust Proposal....Pages 225-232
Sugeno Integral-Based Confidence Intervals for the Theoretical h -Index....Pages 233-240
Using Changes in Distribution to Identify Synchronized Point Processes....Pages 241-248
Lift Measure for Fuzzy Association Rules....Pages 249-260
Fuzzy Rule-Based Ensemble for Time Series Prediction: Progresses with Associations Mining....Pages 261-271
Multistage Fuzzy Control of a Stochastic System Using a Bacterial Genetic Algorithm....Pages 273-281
The Role of a T-norm and Partitioning in Fuzzy Association Analysis....Pages 283-291
Back Matter....Pages 293-294
β¦ Subjects
Computational Intelligence; Artificial Intelligence (incl. Robotics)
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