Fuzzy Logic and Applications
9th International Workshop, WILF 2011, Trani, Italy, August 29-31, 2011, Proceedings
Published on 19. August 2011
XII, 278 pages
978-3-642-23713-3 (ISBN)
Description
This book constitutes the refereed proceedings of the 9th International Workshop on Fuzzy Logic and Applications, WILF 2011 held in Trani, Italy in August 2011.
The 34 revised full papers presented were carefully reviewed and selected from 50 submissions. The papers are organized in topical sections on advances in theory of fuzzy sets, advances in fuzzy systems, advances in classification and clustering; and applications.
More details
Other editions
Additional editions
Alfredo Petrosino | Anna Maria Fanelli | Witold Pedrycz
Fuzzy Logic and Applications
9th International Workshop, WILF 2011, Trani, Italy, August 29-31, 2011, Proceedings
Book
08/2011
Springer
€53.49
Shipment within 7-9 days
Content
- 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
