Fuzzy Logic and Applications

Name: Fuzzy Logic and Applications | 9th International Workshop, WILF 2011, Trani, Italy, August 29-31, 2011, Proceedings
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9th International Workshop, WILF 2011, Trani, Italy, August 29-31, 2011, Proceedings

Alfredo Petrosino Anna Maria Fanelli Witold Pedrycz(Herausgeber*in)

Springer (Verlag)

Erschienen am 19. August 2011

XII, 278 Seiten

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978-3-642-23713-3 (ISBN)

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Inhalt

Title
Preface
Organization
Table of Contents
Advances in Theory of Fuzzy Sets
Solutions of Equation I(x, y) = I(x, I(x, y)) for Implications Derived from Uninorms
Introduction
Preliminaries
Main Results
(U,N) and RU-Implications
QL-Operators
Conclusions and Future Work
References
On the Behavior of WOWA Operators
Introduction
Preliminaries
Weighted Means and OWA Operators
WOWA Operators
Analysis of WOWA Operators
Choosing Functions to Maintain the Relationship among the Weights
Concluding Remarks
References
Measuring the Amount of Knowledge for Atanassov's Intuitionistic Fuzzy Sets
Introduction
Brief Introduction to the A-IFSs
Entropy of the A-IFSs
Desirable Features of a Measure of Information, and Measure of Knowledge for the A-IFSs
Conclusions
References
Distributivity of Implication Operations over t-Representable T-Norms Generated from Nilpotent T-Norms
Introduction
Basic Fuzzy Connectives
Some New Results Pertaining to Functional Equations
Distributive Equation for t-Representable T-Norms
References
Cuts of IF-sets Respecting Fuzzy Connectives
Introduction
Basic Concepts
Cuts of IF-sets
Operations with IF-sets and Cuts
Cuts of Fuzzy Sets
Conclusion
References
Generation of Interval-Valued Fuzzy Implications from Ka Operators
Introduction
Preliminaries
Interval Representations
K Operators
Interval-Valued Fuzzy Negation
Interval-Valued Fuzzy Implications
Interval Automorphism
Conclusion and Final Remarks
References
An Approach to General Quantification Using Representation by Levels
Introduction
Extending Generalized Quantifiers to the Fuzzy Case
Generalized Quantifiers
Fuzzy Extension: Semi-fuzzy Quantifiers
Representation by Levels
Representation
Random-Set View
Advantages
Our Approach to Fuzzy Generalized Quantification
Levelwise Evaluation
Numerical Evaluation
Conclusions
References
Towards Learning Fuzzy DL Inclusion Axioms
Introduction
Preliminaries
Learning Rules with ILP
A DL-Lite Like Description Logic and Its Fuzzy Extensions
Towards Fuzzy DL-Lite Like Inclusion Axioms Learning
Final Remarks
References
A Rough Set Approach to Spatio-temporal Outlier Detection
Introduction
Spatio-temporal Outlier Detection Problem
Rough Outlier Set Extraction (ROSE)
Kernel Set and Relevance to Outlier Detection
Experimental Results and Discussion
Quantitative Measures and Indices
Conclusions
References
Advances in Fuzzy Systems
From Fuzzy Models to Granular Fuzzy Models
Introduction
The Principle of Justifiable Granularity
Optimal Allocation of Information Granularity
Fundamental Modes of Knowledge Management
Concluding Comments
References
Multi-objective Evolutionary Fuzzy Systems
Introduction
Interpretability in Fuzzy Rule-Based Systems
A Taxonomy of Multi-objective Evolutionary Fuzzy Systems
MOE Tuning
MOE DB Learning
MOE RB Selection
MOE RB Learning
MOE KB Learning
Current Trends and Future Directions
References
Interpretability, Interpolation and Rule Weights in Linguistic Fuzzy Modeling
Introduction
Preliminaries
Product-Sum Fuzzy Systems
Weighted Fuzzy Systems
Conclusions
References
A Double Axis Classification of Interpretability Measures for Linguistic Fuzzy Rule-Based Systems
Introduction
A Double Axis Classification of Interpretability Measures for Linguistic FRBSs
Categorizing the Current State-of-the-Art to Assess the Interpretability of Linguistic FRBSs
Conclusions
References
Tagging Ontologies with Fuzzy WordNet Domains
Introduction
Background
Create the WordNet Domains Ontology
Amend Discrepancies
Tagging Ontologies with Fuzzy WordNet Domains Labels
Motivations
A Fuzzy WordNet Domains Model for Ontology Tagging and Classification
Automatic Domain Disambiguation of Ontologies
Experiments and Results
Discussion on Scenarios
References
On the Notions of Residuated-Based Coherence and Bilattice-Based Consistence
Introduction
Preliminary Definitions
L-Interpretations and Coherence
Bilattices and Consistence
Default Negation, Consistence and Coherence
Conclusions
References
Investigation of Evolving Fuzzy Systems Methods FLEXFIS and eTS on Predicting Residential Prices
Introduction
Fuzzy Modeling in On-line Mode with Evolving Fuzzy Systems
The FLEXFIS Approach
The eTS Approach
Experimental Setup
Results of Experiment
Conclusions and Future Work
References
An Empirical Study on Interpretability Indexes through Multi-objective Evolutionary Algorithms
Introduction
Indexes for Assessing Semantic Interpretability
Average Fired Rules
Logical View Index
Evolutionary Framework
Multi-objective Optimization
Experimental Analysis
Conclusions
References
Team Performance Evaluation Using Fuzzy Logic
Introduction
Related Work
Promus Agent System, Beer Game and Fuzzy Logic Application
Team Performance Analysis with Fuzzy Logic
Experiment Results
Analysis
Evaluation
Conclusions
References
Interpretable Fuzzy Modeling for Decision Support in IgA Nephropathy
Introduction
Methodology
Data Pre-processing
Data Partition and Rule-Base Learning
Knowledge Base Improvement
Experimental Evaluation
Conclusions
References
Experimental Comparative Study of Compilation-Based Inference in Bayesian and Possibilitic Networks
Introduction
Basic Concepts
Bayesian and Possibilistic Networks
Compilation
DNNF vs -DNNF
From Encoding to Inference
Which is the Most Compact Method?
Experimental Study
Conclusion
References
Advances in Classification and Clustering
Tuning Graded Possibilistic Clustering by Visual Stability Analysis
Introduction
The Graded Possibilistic c-Means Clustering Method
Fuzzy Similarity Indexes
An Approach to the Comparison of Fuzzy Clusterings
The Fuzzy Jaccard Index
Visual Stability Analysis Based on Comparing Fuzzy Clusterings
Experiments
Data and Experimental Setup
Results and Comments
Remarks and Future Work
References
Granular Data Regression with Neural Networks
Introduction
Interval Arithmetic: Some Definitions
The Adopted Interval-Valued Neural Architecture
The Training of the Interval-Valued MLP
Experimental Results
The Salary Dataset
The Peak Dataset
The Wave Dataset
Conclusions
References
A Fuzzy Declarative Approach for Classifying Unlabeled Short Texts Using Thesauri
Introduction
Background
Proximity Relations between Concepts
BousiProlog and Flexible Search
Text Classification Proposal
Experimental Results
Conclusions and Future Work
References
Subtractive Initialization of Nonnegative Matrix Factorizations for Document Clustering
Introduction
NMF Algorithms and Classical Initializations
Initialization Mechanisms
Initialization by Subtractive Clustering
Numerical Experiments
Conclusive Remarks
References
Asymmetric Kernel Scaling for Imbalanced Data Classification
Introduction
Related Work
Method
Conformal Kernel Transformations
Asymmetric Kernel Scaling (AKS)
Data, Experiments and Results
Conclusions
References
Advanced Applications
Improving Expert Meta-schedulers for Grid Computing through Weighted Rules Evolution
Introduction
Background
Acquisition of Knowledge Bases for Meta-schedulers
Rule Base Acquisition with Pittsburgh Approach
Evolution of Weighted Fuzzy Rules
Simulations Results and Discussion
Conclusions and Future Work
References
Generating Understandable and Accurate Fuzzy Rule-Based Systems in a Java Environment
Introduction
An Overview on Software for System Modelling
Description of the GUAJE Environment
Applications
Conclusions and Future Works
References
Serendipitous Fuzzy Item Recommendation with ProfileMatcher
Introduction
Profile Matcher with Serendipity
Serendipity Injection
Illustrative Example
Experimental Results
The Dataset
Definition of the Fuzzy Graph
Experimental Setting
Experimental Results
Conclusions
References
Fuzzy Models for Fingerprint Description
Introduction
Fuzzy Modeling
Fuzzy Feedback to Users of Recognition Systems
Fuzzy Models for Fingerprint Classification
Conclusions
References
A Fuzzy Set Approach for Shape-Based Image Annotation
Introduction
The Proposed Approach
Preliminary Results
Conclusions
References
Stable Automatic Unsupervised Segmentation of Retinal Vessels Using Self-Organizing Maps and a Modified Fuzzy C-Means Clustering
Introduction
Related Work
Methodology
Pixel Features
Self-Organizing Maps
Post-processing the Segmented Images
Experimental Results
Evaluation Measures
Results
Conclusions
References
Cytoplasm Image Segmentation by Spatial Fuzzy Clustering
Introduction
Detection of the Cytoplasm Region
Segmentation by Spatial Fuzzy Clustering
Experimental Results
Conclusions
References
A Memetic Island Model for Discrete Tomography Reconstruction
Introduction
Memetic Reconstruction
Initial Population
Fitness Function
Crossover Operator
Mutation Operator
Switch Operator
Compactness Operator
Parallel Implementation
Results
Conclusions and Further Works
References
An Intelligent Model for Self-compensation and Self-validation of Sensor Measurements
Introduction
Self-compensation Model
Self-validation Model
Experiments with a Differential Pressure Sensor
Self-compensation
Self-validation
Conclusions
References
Author Index

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