Rough Sets and Current Trends in Computing: 5th International Conference, Rsctc 2006, Kobe, Japan, November 6-8, 2006, Proceedings

ISBN-13: 9783540476931 / Angielski / Miękka / 2006 / 954 str.

Salavatore Greco; Yukata Hata; Shoji Hirano

Opis

This book constitutes the refereed proceedings of the 5th International Conference on Rough Sets and Current Trends in Computing, RSCTC 2006, held in Kobe, Japan in November 2006. The 91 revised full papers presented together with five invited papers and two commemorative papers were carefully reviewed and selected from 332 submissions.

Spis treści

Invited Papers.- Decision Trees and Flow Graphs.- Granular Computing – The Concept of Generalized Constraint-Based Computation.- Bipolar Representations in Reasoning, Knowledge Extraction and Decision Processes.- Kansei Engineering and Rough Sets Model.- Stochastic Approach to Rough Set Theory.- Commemorative Papers for Professor Pawlak.- Zdzis?aw Pawlak Commemorating His Life and Work.- Pawlak Rough Set Model, Medical Reasoning and Rule Mining.- Logics in Rough Sets.- Algebras of Terms in Pawlak’s Information Systems.- Monads Can Be Rough.- On Testing Membership to Maximal Consistent Extensions of Information Systems.- The Research of Rough Sets in Normed Linear Space.- Two Kinds of Rough Algebras and Brouwer-Zadeh Lattices.- Logics in Fuzzy Sets.- Balanced Fuzzy Gates.- Triangle Algebras: Towards an Axiomatization of Interval-Valued Residuated Lattices.- Fuzzy-Rough Hybridization.- An Approach to Parameterized Approximation of Crisp and Fuzzy Sets.- Rough Fuzzy Set Approximations in Fuzzy Formal Contexts.- Webpage Classification with ACO-Enhanced Fuzzy-Rough Feature Selection.- Approximate and Uncertain Reasoning.- Association Reducts: Complexity and Heuristics.- Planning Based on Reasoning About Information Changes.- Rough Approximation Operators in Covering Approximation Spaces.- Variable Precision Rough Set Models.- A New Method for Discretization of Continuous Attributes Based on VPRS.- On Variable Consistency Dominance-Based Rough Set Approaches.- Variable-Precision Dominance-Based Rough Set Approach.- Incomplete/Nondeterministic Information Systems.- Applying Rough Sets to Data Tables Containing Imprecise Information Under Probabilistic Interpretation.- Ensembles of Decision Rules for Solving Binary Classification Problems in the Presence of Missing Values.- Expanding Tolerance RST Models Based on Cores of Maximal Compatible Blocks.- Local and Global Approximations for Incomplete Data.- Missing Template Decomposition Method and Its Implementation in Rough Set Exploration System.- On Possible Rules and Apriori Algorithm in Non-deterministic Information Systems.- Decision Support.- Generalized Conflict and Resolution Model with Approximation Spaces.- Rough Set Approach to Customer Satisfaction Analysis.- Utility Function Induced by Fuzzy Target in Probabilistic Decision Making.- Multi-criteria Decision Support.- Dominance-Based Rough Set Approach to Decision Involving Multiple Decision Makers.- Quality of Rough Approximation in Multi-criteria Classification Problems.- Rough-Set Multiple-Criteria ABC Analysis.- Rough Sets in KDD.- A Method of Generating Decision Rules in Object–Oriented Rough Set Models.- Knowledge Reduction in Set-Valued Decision Information System.- Local Reducts and Jumping Emerging Patterns in Relational Databases.- Mining Rough Association from Text Documents.- NetTRS – Induction and Postprocessing of Decision Rules.- Outlier Detection Based on Rough Membership Function.- Rough Sets in Medicine.- An Approach to a Rough Set Based Disease Inference Engine for ECG Classification.- Attribute Selection for EEG Signal Classification Using Rough Sets and Neural Networks.- Automatic Planning of Treatment of Infants with Respiratory Failure Through Rough Set Modeling.- Developing a Decision Model for Asthma Exacerbations: Combining Rough Sets and Expert-Driven Selection of Clinical Attributes.- Granular Computing.- A GrC-Based Approach to Social Network Data Protection.- An Interpretation of Flow Graphs by Granular Computing.- Attribute Reduction Based on Granular Computing.- Methodological Identification of Information Granules-Based Fuzzy Systems by Means of Genetic Optimization.- Optimization of Information Granulation-Oriented Fuzzy Set Model Using Hierarchical Fair Competition-Based Parallel Genetic Algorithms.- Grey Systems.- A Grey-Based Rough Set Approach to Suppliers Selection Problem.- A Hybrid Grey-Based Dynamic Model for International Airlines Amount Increase Prediction.- On the Combination of Rough Set Theory and Grey Theory Based on Grey Lattice Operations.- Ontology and Mereology.- An Ontology-Based First-Order Modal Logic.- Enhancing a Biological Concept Ontology to Fuzzy Relational Ontology with Relations Mined from Text.- On a Parthood Specification Method for Component Software.- Ontology Driven Concept Approximation.- Statistical Mathods.- A Statistical Method for Determining Importance of Variables in an Information System.- Distribution of Determinants of Contingency Matrix.- Interpretation of Contingency Matrix Using Marginal Distributions.- Machine Learning.- A Model of Machine Learning Based on User Preference of Attributes.- Combining Bi-gram of Character and Word to Classify Two-Class Chinese Texts in Two Steps.- Combining Monte Carlo Filters with Support Vector Machines for Option Price Forecasting.- Domain Knowledge Assimilation by Learning Complex Concepts.- Learning Compound Decision Functions for Sequential Data in Dialog with Experts.- Sampling of Virtual Examples to Improve Classification Accuracy for Nominal Attribute Data.- Clustering.- A Fuzzy-Possibilistic Fuzzy Ruled Clustering Algorithm for RBFNNs Design.- A Partitive Rough Clustering Algorithm.- A Zone-Based Method for Selecting Clusterheads in Wireless Sensor Networks.- An Agglomerative Hierarchical Clustering by Finding Adjacent Hyper-Rectangles.- Data Mining.- Evaluating Learning Models for a Rule Evaluation Support Method Based on Objective Indices.- Mining the Most Interesting Patterns from Multiple Phenotypes Medical Data.- Risk Mining: Mining Nurses’ Incident Factors and Application of Mining Results to Prevention of Incidents.- Rule Quality Measures in Creation and Reduction of Data Rule Models.- Evolutionary Computing.- A Distributed Hybrid Heuristics of Mean Field Annealing and Genetic Algorithm for Load Balancing Problem.- Enhancing Global Search Ability of Quantum-Behaved Particle Swarm Optimization by Maintaining Diversity of the Swarm.- Identification and Speed Control of Ultrasonic Motors Based on Modified Immune Algorithm and Elman Neural Networks.- Intelligent Information Systems.- A Hybrid and Intelligent System for Predicting Lot Output Time in a Semiconductor Fabrication Factory.- Combining SOM and GA-CBR for Flow Time Prediction in Semiconductor Manufacturing Factory.- Developing Intelligent Applications in Social E-Mail Networks.- Functional Extension of the RSDS System.- Hybrid Music Filtering for Recommendation Based Ubiquitous Computing Environment.- Pattern Recognition and Image Processing.- A Novel Color Image Watermarking Method Based on Genetic Algorithm and Hybrid Neural Networks.- Calibration of Omnidirectional Camera by Considering Inlier Distribution.- Modified Hough Transform for Images Containing Many Textured Regions.- Relative Color Polygons for Object Detection and Recognition.- Rough Set Based Image Segmentation of Video Sequences.- Two Dimensional Laplacianfaces Method for Face Recognition.- Unsupervised Learning of Image Recognition with Neural Society for Clustering.- Data Clustering: Algorithms and Applications (Organized Session).- A Framework for Unsupervised Selection of Indiscernibility Threshold in Rough Clustering.- A Fuzzy Neighborhood Model for Clustering, Classification, and Approximations.- A Proposal for Comparison of Impression Evaluation Data Among Individuals by Using Clustering Method Based on Distributed Structure of Data.- Extending Microaggregation Procedures for Time Series Protection.- Lattice-Valued Hierarchical Clustering for Analyzing Information Systems.- Postsupervised Hard c-Means Classifier.- Rule Induction Via Clustering Decision Classes.- Several Formulations for Graded Possibilistic Approach to Fuzzy Clustering.