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Presents the latest findings and developments in fuzzy logic and its applications
Features refereed proceedings from the 7th International Workshop on Fuzzy Logic and Applications
Covers fuzzy set theory, fuzzy information access and retrieval, fuzzy machine learning, and fuzzy architectures and systems
The 7th International Workshop on Fuzzy Logic and Applications (WILF 2007), held in Camogli, Italy in July 2007, brought together leading international experts to present and debate the latest findings and developments in the field. This volume features the refereed proceedings from that meeting. It includes eighty-four full papers as well as three keynote speeches.
The papers are organized into topical sections covering fuzzy set theory, fuzzy information access and retrieval, fuzzy machine learning, and fuzzy architectures and systems. The book also includes special sessions on intuitionistic fuzzy sets and soft computing in image processing.
WILF 2007 hosted four special sessions, namely the Fourth International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, the Third International Workshop on Cross-Language Information Processing, Intuitionistic Fuzzy Sets: Recent Advances, and Soft Computing in Image Processing. These special sessions extend and deepen the main topics of WILF.
Advances in Fuzzy Set Theory.- From Fuzzy Beliefs to Goals.- Information Entropy and Co–entropy of Crisp and Fuzzy Granulations.- Possibilistic Linear Programming in Blending and Transportation Planning Problem.- Measuring the Interpretive Cost in Fuzzy Logic Computations.- A Fixed-Point Theorem for Multi-valued Functions with an Application to Multilattice-Based Logic Programming.- Contextualized Possibilistic Networks with Temporal Framework for Knowledge Base Reliability Improvement.- Reconstruction of the Matrix of Causal Dependencies for the Fuzzy Inductive Reasoning Method.- Derivative Information from Fuzzy Models.- The Genetic Development of Uninorm-Based Neurons.- Using Visualization Tools to Guide Consensus in Group Decision Making.- Reconstruction Methods for Incomplete Fuzzy Preference Relations: A Numerical Comparison.- Fuzzy Information Access and Retrieval.- Web User Profiling Using Fuzzy Clustering.- Exploring the Application of Fuzzy Logic and Data Fusion Mechanisms in QAS.- Fuzzy Indices of Document Reliability.- Fuzzy Ontology, Fuzzy Description Logics and Fuzzy-OWL.- Fuzzy Machine Learning.- An Improved Weight Decision Rule Using SNNR and Fuzzy Value for Multi-modal HCI.- DWT-Based Audio Watermarking Using Support Vector Regression and Subsampling.- Improving the Classification Ability of DC* Algorithm.- Combining One Class Fuzzy KNN’s.- Missing Clusters Indicate Poor Estimates or Guesses of a Proper Fuzzy Exponent.- An Analysis of the Rule Weights and Fuzzy Reasoning Methods for Linguistic Rule Based Classification Systems Applied to Problems with Highly Imbalanced Data Sets.- Fuzzy Clustering for the Identification of Hinging Hyperplanes Based Regression Trees.- Evaluating Membership Functions for Fuzzy Discrete SVM.- Improvement of Jarvis-Patrick Clustering Based on Fuzzy Similarity.- Fuzzy Rules Generation Method for Pattern Recognition Problems.- Outliers Detection in Selected Fuzzy Regression Models.- Possibilistic Clustering in Feature Space.- Fuzzy Architectures and Systems.- OpenAdap.net: Evolvable Information Processing Environment.- Binary Neuro-Fuzzy Classifiers Trained by Nonlinear Quantum Circuits.- Digital Hardware Implementation of High Dimensional Fuzzy Systems.- Optimization of Hybrid Electric Cars by Neuro-Fuzzy Networks.- Fuzzy k-NN Lung Cancer Identification by an Electronic Nose.- Efficient Implementation of SVM Training on Embedded Electronic Systems.- A Possible Approach to Cope with Uncertainties in Space Applications.- Special Session on Intuitionistic Fuzzy Sets: Recent Advances.- Fuzzy Measures: Collectors of Entropies.- Some Problems with Entropy Measures for the Atanassov Intuitionistic Fuzzy Sets.- Twofold Extensions of Fuzzy Datalog.- Combs Method Used in an Intuitionistic Fuzzy Logic Application.- Intuitionistic Fuzzy Spatial Relationships in Mobile GIS Environment.- A Two-Dimensional Entropic Approach to Intuitionistic Fuzzy Contrast Enhancement.- Intuitionistic Fuzzy Histogram Hyperbolization for Color Images.- Special Session on Soft Computing in Image Processing.- Computer Vision and Pattern Recognition in Homeland Security Applications.- A Genetic Algorithm Based on Eigen Fuzzy Sets for Image Reconstruction.- Fuzzy Metrics Application in Video Spatial Deinterlacing.- Fuzzy Directional-Distance Vector Filter.- Color Texture Segmentation with Local Fuzzy Patterns and Spatially Constrained Fuzzy C-Means.- A Flexible System for the Retrieval of Shapes in Binary Images.- Fuzzy C-Means Segmentation on Brain MR Slices Corrupted by RF-Inhomogeneity.- Dilation and Erosion of Spatial Bipolar Fuzzy Sets.- About the Embedding of Color Uncertainty in CBIR Systems.- Evolutionary Cellular Automata Based-Approach for Edge Detection.- Special Session Third International Workshop on Cross-Language Information Processing (CLIP 2007).- The Multidisciplinary Facets of Research on Humour.- Multi-attribute Text Classification Using the Fuzzy Borda Method and Semantic Grades.- Approximate String Matching Techniques for Effective CLIR Among Indian Languages.- Using Translation Heuristics to Improve a Multimodal and Multilingual Information Retrieval System.- Ontology-Supported Text Classification Based on Cross-Lingual Word Sense Disambiguation.- Opinion Analysis Across Languages: An Overview of and Observations from the NTCIR6 Opinion Analysis Pilot Task.- Some Experiments in Humour Recognition Using the Italian Wikiquote Collection.- Recognizing Humor Without Recognizing Meaning.- Computational Humour: Utilizing Cross-Reference Ambiguity for Conversational Jokes.- Special Session Fourth International Meeting on Computational Intelligence Methods for Bioinformatics Biostatistics (CIBB 2007).- Dataset Complexity and Gene Expression Based Cancer Classification.- A Novel Hybrid GMM/SVM Architecture for Protein Secondary Structure Prediction.- A Graph Theoretic Approach to Protein Structure Selection.- Time-Series Alignment by Non-negative Multiple Generalized Canonical Correlation Analysis.- Generative Kernels for Gene Function Prediction Through Probabilistic Tree Models of Evolution.- Liver Segmentation from CT Scans: A Survey.- Clustering Microarray Data with Space Filling Curves.- Fuzzy Ensemble Clustering for DNA Microarray Data Analysis.- Signal Processing in Comparative Genomics.- PCA Based Feature Selection Applied to the Analysis of the International Variation in Diet.- Evaluating Switching Neural Networks for Gene Selection.- Analysis of Proteomic Spectral Data by Multi Resolution Analysis and Self-Organizing Maps.- A Cost-Sensitive Approach to Feature Selection in Micro-Array Data Classification.- Liknon Feature Selection for Microarrays.- An Alternative Splicing Predictor in C.Elegans Based on Time Series Analysis.- Cancer Classification Based on Mass Spectrometry.- Computational Proteomics of Biomolecular Interactions in Sequence and Structure Space of the Tyrosine Kinome: Evolutionary Constraints and Protein Conformational Selection Determine Binding Signatures of Cancer Drugs.- Learning Transcriptional Regulatory Networks with Evolutionary Algorithms Enhanced with Niching.- Towards a Personalized Schedule with Triplex Vaccine.- Solving Protein Structures Using Molecular Replacement Via Protein Fragments.- An Interactive Tool for the Management and Visualization of Mass-Spectrometry Proteomics Data.- Smart Sequence Similarity Search(S4) System.- Prediction of over Represented Transcription Factor Binding Sites in Co-regulated Genes Using Whole Genome Matching Statistics.- Unsupervised Haplotype Reconstruction and LD Blocks Discovery in a Hidden Markov Framework.- Multi-class Protein Fold Recognition Through a Symbolic-Statistical Framework.- Assessment of Common Regions and Specific Footprints of DNA Copy Number Aberrations Across Multiple Affymetrix SNP Mapping Arrays.- Locally Adaptive Statistical Procedures for the Integrative Analysis on Genomic and Transcriptional Data.