Rough Sets and Knowledge Technology

Invited Papers.- Decision-Theoretic Rough Set Models.- Efficient Attribute Reduction Based on Discernibility Matrix.- Near Sets. Toward Approximation Space-Based Object Recognition.- Rough Set Foundations.- On Covering Rough Sets.- On Transitive Uncertainty Mappings.- A Complete Method to Incomplete Information Systems.- Information Concept Lattice and Its Reductions.- Homomorphisms Between Relation Information Systems.- Dynamic Reduction Based on Rough Sets in Incomplete Decision Systems.- Entropies and Co-entropies for Incomplete Information Systems.- Granular Computing Based on a Generalized Approximation Space.- A General Definition of an Attribute Reduct.- Multiple Criteria Decision Analysis.- Mining Associations for Interface Design.- Optimized Generalized Decision in Dominance-Based Rough Set Approach.- Monotonic Variable Consistency Rough Set Approaches.- Bayesian Decision Theory for Dominance-Based Rough Set Approach.- Ranking by Rough Approximation of Preferences for Decision Engineering Applications.- Applying a Decision Making Model in the Early Diagnosis of Alzheimer's Disease.- Biometrics.- Singular and Principal Subspace of Signal Information System by BROM Algorithm.- Biometric Verification by Projections in Error Subspaces.- Absolute Contrasts in Face Detection with AdaBoost Cascade.- Voice Activity Detection for Speaker Verification Systems.- Face Detection by Discrete Gabor Jets and Reference Graph of Fiducial Points.- Iris Recognition with Adaptive Coding.- Kansei Engineering.- Overview of Kansei System and Related Problems.- Reduction of Categorical and Numerical Attribute Values for Understandability of Data and Rules.- Semi-structured Decision Rules in Object-Oriented Rough Set Models for Kansei Engineering.- Functional Data Analysis and ItsApplication.- Evaluation of Pictogram Using Rough Sets.- A Logical Representation of Images by Means of Multi-rough Sets for Kansei Image Retrieval.- Autonomy-Oriented Computing.- A Batch Rival Penalized EM Algorithm for Gaussian Mixture Clustering with Automatic Model Selection.- A Memetic-Clustering-Based Evolution Strategy for Traveling Salesman Problems.- An Efficient Probabilistic Approach to Network Community Mining.- A New Approach to Underdetermined Blind Source Separation Using Sparse Representation.- Soft Computing in Bioinformatics.- Evolutionary Fuzzy Biclustering of Gene Expression Data.- Rough Clustering and Regression Analysis.- Rule Induction for Prediction of MHC II-Binding Peptides.- Efficient Local Protein Structure Prediction.- Roughfication of Numeric Decision Tables: The Case Study of Gene Expression Data.- Ubiquitous Computing and Networking.- Ubiquitous Customer Relationship Management (uCRM).- Towards the Optimal Design of an RFID-Based Positioning System for the Ubiquitous Computing Environment.- Wave Dissemination for Wireless Sensor Networks.- Two Types of a Zone-Based Clustering Method for Wireless Sensor Networks.- Rough Set Algorithms.- Set Approximations in Multi-level Conceptual Data.- Knowledge Reduction in Generalized Consistent Decision Formal Contexts.- Graphical Representation of Information on the Set of Reducts.- Minimal Attribute Space Bias for Attribute Reduction.- Two-Phase ?-Certain Reducts Generation.- Formal Concept Analysis and Set-Valued Information Systems.- Descriptors and Templates in Relational Information Systems.- ROSA: An Algebra for Rough Spatial Objects in Databases.- Knowledge Representation and Reasoning.- Learning Models Based on Formal Concept.- Granulation Based Approximate Ontologies Capture.- Fuzzy-ValuedTransitive Inclusion Measure, Similarity Measure and Application to Approximate Reasoning.- Model Composition in Multi-dimensional Data Spaces.- An Incremental Approach for Attribute Reduction in Concept Lattice.- Topological Space for Attributes Set of a Formal Context.- Flow Graphs as a Tool for Mining Prediction Rules of Changes of Components in Temporal Information Systems.- Approximation Space-Ba