Note: Title -- Preface -- Organization -- Table of Contents -- Keynote Speech -- Comparative Study on Mathematical Foundations of Type-2 Fuzzy Set, Rough Set and Cloud Model -- Scientific Challenges in Contextual Advertising -- F-granulation, Generalized Rough Entropy and Pattern Recognition -- Knowledge Discovery about Preferences Using the Dominance-Based Rough Set Approach -- References -- Wikipedia and How to Use It for Semantic Document Representation -- Granular Computing and Computational Complexity -- Rough Sets and Computing Theory -- Some Comparative Analyses of Data in the RSDS System -- Introduction -- Some Basic Analyses -- Analysis of Collaboration Graph -- Analysis of Data Changes in Time -- Final Remarks -- References -- Rough Temporal Vague Sets in Pawlak Approximation Space -- Introduction -- Temporal Vague Sets(TVS) -- Rough Approximation of a Temporal Vague Set -- Rough Temporal Vague Sets(RTVS) -- The Properties of RTVS -- Roughness Measure of a Temporal Vague Set -- Conclusions -- References -- Poset Approaches to Covering-Based Rough Sets -- Introduction -- Basic Definitions -- Main Results -- Conclusions -- References -- 1-vs-Others Rough Decision Forest -- Introduction -- 1-vs-Others Rough Decision Forest -- Experimental Comparison -- Conclusions -- References -- Knowledge Reduction in Random Incomplete Information Systems via Evidence Theory -- Introduction -- Random Incomplete Information Systems and Rough Set Approximations -- Belief and Plausibility Functions -- Attribute Reducts in Random Incomplete Information Systems -- Conclusion -- References -- Knowledge Reduction Based on Granular Computing from Decision Information Systems -- Introduction -- Preliminaries -- The Proposed Approach -- GrC Representation in SDIS -- Granular Computing Based Knowledge Reduction in SDIS -- Experimental Results -- Conclusion -- References. , Pattern Classification Using Class-Dependent Rough-Fuzzy Granular Space -- Introduction -- Proposed Model for Pattern Classification -- Class-Dependent Granule Generation -- Feature Selection -- Performance Measurement Indexes -- Results and Discussion -- Classification of Completely Labeled Data Sets -- Classification of Partially Labeled Data Sets -- Conclusion -- References -- Generate (F, \epsilon)-Dynamic Reduct Using Cascading Hashes -- Introduction -- Rough Set Preliminaries and Dynamic Reducts -- Cascading Hash Function -- Generate (F,\epsilon )-Dynamic Reducts Using Cascading Hash Function -- Conclusion -- References -- Incorporating Great Deluge with Kempe Chain Neighbourhood Structure for the Enrolment-Based Course Timetabling Problem -- Introduction -- Problem Description -- The Proposed Algorithm -- Neighbourhood Structures -- Phase 1: Constructive Heuristic -- Phase 2: Improvement Algorithm Using a Great Deluge with Kempe Chain Neighbourhood Structure -- Round-Robin Algorithm (RR) -- Simulation Results -- Conclusion and Future Work -- References -- Ordered Weighted Average Based Fuzzy Rough Sets -- Introduction -- Preliminaries -- Fuzzy Rough Sets -- Vaguely Quantified Rough Sets -- Ordered Weighted Average Aggregation -- OWA-Based Lower and Upper Approximation -- Application to Feature Selection -- Fuzzy-Rough Feature Selection -- VQRS- and OWA-Based Feature Selection -- Experimental Evaluation -- Conclusion and Future Work -- References -- On Attribute Reduction of Rough Set Based on Pruning Rules -- Introduction -- Basic Knowledge -- Rough Set -- Pruning Thought -- Pruning Rules -- Attribute Reduction of Rough Set Based on Pruning Rules(ARRSBPR) -- Algorithm Description -- Algorithm Analysis -- Examples and Its Analysis -- Discussion and Future Work -- References -- Set-Theoretic Models of Granular Structures -- Introduction. , Overview of the Unified Model -- Models of Granular Structures -- Lattice-Based Models of Granular Structures -- Set-Based Models of Granular Structures -- Characterization of Models of Granular Structures -- Conclusion -- References -- A Robust Fuzzy Rough Set Model Based on Minimum Enclosing Ball -- Introduction -- Related Work -- Fuzzy Rough Sets and Robustness Analysis -- Minimum Enclosing Ball -- MEB-Based Robust Fuzzy Rough Set Model -- Robust Minimum Enclosing Ball -- A Robust Rough Set Model -- Experiments -- Conclusions -- References -- Indiscernibility and Similarity in an Incomplete Information Table -- Introduction -- Incomplete Information Table and Its Interpretations -- Information Tables -- Interpretation of an Incomplete Information Table -- A Pair of Relations in an Incomplete Information Table -- Similarity Relations and the Pair of Relations -- Similarity Relation on Set-Valued Information Tables -- Similarity Relation on Information Tables with Missing Values -- An Indiscernibility Relation for Incomplete Information Tables -- Conclusion -- References -- A New Fitness Function for Solving Minimum Attribute Reduction Problem -- Introduction -- Some Basic Concepts and Related Works -- A New Fitness Function and Its Properties -- Performance Comparison between Different Fitness Functions -- Conclusions -- References -- Temporal Dynamics in Rough Sets Based on Coverings -- Introduction -- The Classification of Covering Dynamics -- The Partition Case -- The Covering Case: Approximations -- Increase wrt Granules -- Increase wrt Objects -- The Covering Case: Reduction -- Conclusions -- References -- Data Classification Using Rough Sets and Naïve Bayes -- Introduction -- Rough Set -- Basic Concepts of Rough Set -- Naïve Bayes -- Hybrid Models and Variants of NB -- The Proposed RNB Algorithm -- RNB Algorithm -- Experimental Analysis. , Experiment Setup -- Results and Discussions -- Conclusions and Future Work -- References -- A Heuristic Reduction Algorithm in IIS Based on Binary Matrix -- Introduction -- BasicNotions -- Binary Discernibility Matrix -- A Heuristic Reduction Algorithm Based on Binary Matrix -- An Illustrative Example -- Conclusion -- References -- Generalized Distribution Reduction in Inconsistent Decision Systems Based on Dominance Relations -- Introduction -- Basic Concepts -- Generalized Distribution Reductions -- Discernibility Matrix-Based Approach of Generalized Distribution Reductions -- Conclusion -- References -- Towards Multi-adjoint Property-Oriented Concept Lattices -- Introduction -- Formal Concept Analysis: Derivation Operators -- Adjoint Triples and Multi-adjoint Concept Lattices -- Multi-adjoint Property-Oriented Concept Lattices -- Conclusions and Future Work -- References -- Extension of Covering Approximation Space and Its Application in Attribute Reduction -- Introduction -- Preliminaries -- Extension of Covering Approximation Space -- A Heuristic Reduction Algorithm of Covering Decision System -- Example Illustration -- Conclusions -- References -- A New Extended Dominance Relation Approach Based on Probabilistic Rough Set Theory -- Introduction -- Preliminaries -- A New Extended Dominance Relation Based on Probabilistic Rough Set Theory -- Experimental Evaluation -- Conclusions -- References -- An Equivalent Form of Rough Logic System RSL -- Introduction -- Preliminaries -- The Rough Fuzzy Logic System RSL* -- References -- Fuzzy Sets -- Conceptual Reduction of Fuzzy Dual Concept Lattices -- Introduction -- Preliminaries -- Residuated Lattices and Fuzzy Formal Contexts -- Galois Connection -- Approaches of Conceptual Reduction for Fuzzy Dual Concept Lattices -- Properties and Relationships of Variable Threshold Dual Concept Lattices. , Conclusion -- References -- Qualitative Approximations of Fuzzy Sets and Non-classical Three-Valued Logics (I) -- Introduction -- Fuzzy Set, t-Norm and Fuzzy Implication -- Fuzzy Sets -- Fuzzy Set-Theoretic Operations -- Fuzzy Implication -- (0,1)-Approximations and TP_1 Logic -- Conclusion -- References -- Qualitative Approximations of Fuzzy Sets and Non-classical Three-Valued Logics (II) -- Introduction and Some Classical Three-Valued Logics -- Łukasiewicz Logic Ł -- Kleene Logic K -- Heyting Logic H -- (α, β)-Approximations and TP1 Logic -- (α, β)-Approximations and TP2/TP3 Logic -- Conclusion -- References -- Implication Operator of Linguistic Truth-Valued Intuitionistic Fuzzy Lattice -- Introduction -- Linguistic Truth-Valued Lattice Implication Algebra -- Linguistic Truth-Valued Intuitionistic Fuzzy Lattice LI2n -- Conclusions -- References -- Robust Granular Neural Networks, Fuzzy Granules and Classification -- Introduction -- Representations of Weights in Linguistic Form -- Generalized Linguistic Variables -- A generalized linguistic variable (GLV) -- Linguistic Arithmetic -- RGNN Back Propagation Algorithm -- Input Pattern Representation in Granular Form -- Choice of Parameters of π Functions for Numerical Features -- Class Memberships as Output Vectors -- Applying the Membership Concept to Target Vector -- Experimental Results -- Conclusion -- References -- Perturbed Iterative Approximation of CommonFixed Points on Nonlinear Fuzzy and CrispMixed Family Operator Equation Couples in Menger PN-Spaces -- Introduction -- Preliminaries -- Iterative Algorithm and Convergence -- Conclusions -- References -- Improving the Learning of Recurring Concepts through High-Level Fuzzy Contexts -- Introduction and Related Work -- Learning Process Fundamentals -- Fuzzy Based Approach to Deal with Context Integration and Recurring Concepts -- Fuzzy Context. , Model Storage.