Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing

Invited Papers.- Rough Sets and Flow Graphs.- A Modal Characterization of Indiscernibility and Similarity Relations in Pawlaks Information Systems.- Granular Computing with Shadowed Sets.- Rough Set Approximations.- Rough Sets and Higher Order Vagueness.- Approximation in Formal Concept Analysis.- Second-Order Rough Approximations in Multi-criteria Classification with Imprecise Evaluations and Assignments.- New Approach for Basic Rough Set Concepts.- A Partitional View of Concept Lattice.- Characterizations of Attributes in Generalized Approximation Representation Spaces.- Rough-Algebraic Foundations.- Proximity Spaces of Exact Sets.- Rough Group, Rough Subgroup and Their Properties.- Concept Lattices vs. Approximation Spaces.- Rough Sets over the Boolean Algebras.- Algebraic Approach to Generalized Rough Sets.- Logic for Rough Sets with Rough Double Stone Algebraic Semantics.- Feature Selection and Reduction.- On Partial Tests and Partial Reducts for Decision Tables.- The Second Attribute.- Pairwise Cores in Information Systems.- Data Preprocessing and Kappa Coefficient.- Incremental Attribute Reduction Based on Elementary Sets.- Finding Rough Set Reducts with SAT.- Feature Selection with Adjustable Criteria.- Feature Selection Based on Relative Attribute Dependency: An Experimental Study.- Reasoning in Information Systems.- On Consistent and Partially Consistent Extensions of Information Systems.- A New Treatment and Viewpoint of Information Tables.- Incomplete Data and Generalization of Indiscernibility Relation, Definability, and Approximations.- Discernibility Functions and Minimal Rules in Non-deterministic Information Systems.- Studies on Rough Sets in Multiple Tables.- Normalization in a Rough Relational Database.- Rough-Probabilistic Approaches.-Probabilistic Rough Sets.- Variable Precision Bayesian Rough Set Model and Its Application to Human Evaluation Data.- Variable Precision Rough Set Approach to Multiple Decision Tables.- Rough Membership and Bayesian Confirmation Measures for Parameterized Rough Sets.- Rough Sets Handling Missing Values Probabilistically Interpreted.- The Computational Complexity of Inference Using Rough Set Flow Graphs.- Rough-Fuzzy Hybridization.- Upper and Lower Probabilities of Fuzzy Events Induced by a Fuzzy Set-Valued Mapping.- Variable Precision Fuzzy Rough Sets Model in the Analysis of Process Data.- CRST: A Generalization of Rough Set Theory.- An Extension of Rough Approximation Quality to Fuzzy Classification.- Fuzzy Rules Generation Method for Classification Problems Using Rough Sets and Genetic Algorithms.- Multilayer FLC Design Based on RST.- Fuzzy Methods in Data Analysis.- Interpretable Rule Extraction and Function Approximation from Numerical Input/Output Data Using the Modified Fuzzy TSK Model, TaSe Model.- A New Feature Weighted Fuzzy Clustering Algorithm.- User-Driven Fuzzy Clustering: On the Road to Semantic Classification.- Evolutionary Computing.- Research on Clone Mind Evolution Algorithm.- A Study on the Global Convergence Time Complexity of Estimation of Distribution Algorithms.- Finding Minimal Rough Set Reducts with Particle Swarm Optimization.- MEA Based Nonlinearity Correction Algorithm for the VCO of LFMCW Radar Level Gauge.- Machine Learning.- On Degree of Dependence Based on Contingency Matrix.- Model Selection and Assessment for Classification Using Validation.- Dependency Bagging.- Combination of Metric-Based and Rule-Based Classification.- Combining Classifiers Based on OWA Operators with an Application to Word Sense Disambiguation.- System Health Prognostic Model Using Rough Sets.- Approximate and Uncertain Reasoning.- Live Logic TM : Method for Approximate Knowledge Discovery and Decision Making.- Similarity, Approximations and Vagueness.- Decision Theory = Performance Measure Theory + Uncertainty Theory.- Probabilistic Network Models.- The Graph-Theoretical Properties of Partitions and Information Entropy.- A Comparative Evaluation of Rough Sets and Pro