Bayes' Theorem - the Rough Set Perspective -- 1 Introduction -- 2 Bayes' Theorem -- 3 Information Systems and Approximation of Sets -- 4 Decision Language -- 5 Decision Algorithms -- 6 Decision Rules in Information Systems -- 7 Properties of Decision Rules -- 8 Decision Tables and Flow Graphs -- 9 Illustrative Example -- 10 Conclusion -- References -- Approximation Spaces in Rough Neurocomputing -- 1 Introduction -- 2 Approximation Spaces in Rough Set Theory -- 3 Generalizations of Approximation Spaces -- 4 Information Granule Systems and Approximation Spaces -- 5 Classifiers as Information Granules -- 6 Approximation Spaces for Information Granules -- 7 Approximation Spaces in Rough-Neuro Computing -- 8 Conclusion -- References -- Soft Computing Pattern Recognition: Principles, Integrations and Data Mining -- 1 Introduction -- 2 Relevance of Fuzzy Set Theory in Pattern Recognition -- 3 Relevance of Neural Network Approaches -- 4 Genetic Algorithms for Pattern Recognition -- 5 Integration and Hybrid Systems -- 6 Evolutionary Rough Fuzzy MLP -- 7 Data mining and knowledge discovery -- References -- I. Generalizations and New Theories -- Generalization of Rough Sets Using Weak Fuzzy Similarity Relations -- Two Directions toward Generalization of Rough Sets -- Two Generalizations of Multisets -- Interval Probability and Its Properties -- On Fractal Dimension in Information Systems -- A Remark on Granular Reasoning and Filtration -- Towards Discovery of Relevant Patterns from Parameterized Schemes of Information Granule Construction -- Approximate Markov Boundaries and Bayesian Networks: Rough Set Approach -- II. Data Mining and Rough Sets -- Mining High Order Decision Rules -- Association Rules from a Point of View of Conditional Logic -- Association Rules with Additional Semantics Modeled by Binary Relations -- A Knowledge-Oriented Clustering Method Based on Indiscernibility Degree of Objects -- Some Effective Procedures for Data Dependencies in Information Systems -- Improving Rules Induced from Data Describing Self-Injurious Behaviors by Changing Truncation Cutoff and Strength -- The Variable Precision Rough Set Inductive Logic Programming Model and Future Test Cases in Web Usage Mining -- Rough Set and Genetic Programming -- III. Conflict Analysis and Data Analysis -- Rough Set Approach to Conflict Analysis -- Criteria for Consensus Susceptibility in Conflicts Resolving -- L1-Space Based Models for Clustering and Regression -- Upper and Lower Possibility Distributions with Rough Set Concepts -- Efficiency Values Based on Decision Maker's Interval Pairwise Comparisons -- IV. Applications in Engineering -- Rough Measures, Rough Integrals and Sensor Fusion -- A Design of Architecture for Rough Set Processor -- Identifying Adaptable Components - A Rough Sets Style Approach -- Analysis of Image Sequences for the UAV.