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.