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.

Note: Intro -- Preface -- Organization -- Keynote Abstracts -- Table of Contents -- Formal Semantics -- Coming Upon the Classic Notion of Implicit Knowledge Again -- 1 Introduction -- 2 Revisiting the Most Common Logic of Knowledge -- 3 The Language and the Logic of Subset Spaces -- 4 A Multi-agent Semantics Based on Subset Spaces -- 5 Completeness -- 6 Remarks on Decidability and Complexity -- 7 Conclusion -- References -- Knowledge Preemption and Defeasible Rules -- 1 Introduction -- 2 Logical Preliminaries -- 3 Implicants and Implicates as Basic Tools for Preemption -- 4 A Simple Non-monotonic Framework -- 5 When Does Preemption Make Sense? -- 6 Preemption in the Non-monotonic Framework -- 7 Experimental Results -- 8 Related Work -- 9 Conclusions and Perspectives -- References -- A Method for Merging Cultural Logic Systems -- 1 Introduction -- 2 Cultural Logic Systems -- 3 Cultural Logic System Merging -- 4 Properties of the Merging -- 5 Related Work -- 6 Conclusion -- References -- Content and Document Analysis -- Automatic Building of Socio-semantic Networks for Requirements Analysis -- Model and Business Application -- 1 ContextandPurpose -- 2 Socio-semantic Networks for Requirements Analysis -- 2.1 Linguistic Statistics and Semantic Weights -- 2.2 Keywords Networks and Semantic Weights Distribution -- 3 Requirements Analysis Using Socio-semantic Networks -- 3.1 Overview of the Software Architecture -- 3.2 Full-Text Indexing and Semantic Statistics -- 3.3 Keywords Networks Building -- 3.4 Experimentation -- 4 Conclusion -- References -- A Document Clustering Algorithm Based on Semi-constrained Hierarchical Latent Dirichlet Allocation -- 1 Introduction -- 2 Related Work -- 3 Latent Dirichlet Allocation and Hierarchical Latent Dirichlet Allocation -- 3.1 Latent Dirichlet Allocation -- 3.2 Hierarchical Latent Dirichlet Allocation. , 4 The Document Clustering Algorithm Based on Semi-constrained HLDA -- 4.1 Knowledge Extraction -- 4.2 Knowledge Incorporation -- 4.3 The Formulation of the Algorithm -- 5 Experiments -- 5.1 Datasets -- 5.2 Evaluation Method -- 5.3 Experimental Results and Analysis -- 6 Conclusions -- References -- An Ordinal Multi-class Classification Method for Readability Assessment of Chinese Documents -- 1 Introduction -- 2 Background -- 2.1 Readability Assessment -- 2.2 RelatedWork -- 3 OurMethod -- 3.1 An Ordinal Multi-class Classification Method -- 3.2 Text Features for Chinese Documents -- 4 Empirical Analysis -- 4.1 The Corpus Description -- 4.2 Metrics -- 4.3 Performance of the Ordinal Methods -- 4.4 Contributions of the Features -- 5 Conclusion and Future Work -- References -- Concept and Lexical Analysis -- Applying Triadic FCA in Studying Web Usage Behaviors -- 1 Introduction -- 2 Prerequisites: Triadic Formal Concept Analysis -- 3 Web Usage Mining and Previous Work -- 3.1 Access File Classes -- 3.2 Referrer Classes -- 4 Web Usage Mining with Triadic FCA -- 4.1 Interpreting Triadic FCA Results with Circos -- 5 Test Results -- 6 Conclusion and Future Work -- References -- Verification Based on Hyponymy Hierarchical Characteristics forWeb-Based Hyponymy Discovery -- 1 Introduction -- 2 Related Work -- 3 Overview of Our Approach -- 4 Hyponymy Hierarchical Characteristics -- 4.1 Hyponymy Transitivity Characteristic -- 4.2 Hyponymy-Hypernym Ratio Decreasing Characteristic (RHHDC) -- 4.3 Hyponym Overlapping Characteristic (HOC) -- 5 Verifying Candidate Terms Based on Hyponymy Hierarchical Characteristics -- 6 Experimental Results -- 6.1 Experiment I -- 6.2 Experiment II -- 7 Conclusion -- References -- Using Standardized Lexical Semantic Knowledge to Measure Similarity -- 1 Introduction -- 2 Related Works -- 3 The Proposed Method. , 4 Case Study on the Arabic Language -- 4.1 General Features of the LMF Arabic Dictionary -- 4.2 Experimentation -- 4.3 Experiment Results -- 5 Conclusion -- References -- Clustering and Classification -- Impact of the Sakoe-Chiba Band on the DTW Time-Series Distance Measure for kNN Classification -- 1 Introduction -- 2 Background and Related Work -- 3 Experimental Results -- 4 Conclusions and Future Work -- References -- Weighting Exponent Selection of Fuzzy C-Means via Jacobian Matrix -- 1 Introduction -- 2 The FCM Algorithm -- 3 Jacobian Matrix Analysis of the FCM Algorithm -- 4 Experimental Results -- 4.1 Clustering Evaluation Methods -- 4.2 Synthetic Data -- 4.3 Real-World Data -- 5 Conclusions -- References -- Dividing Traffic Sub-areas Based on a Parallel K-Means Algorithm -- 1 Introduction -- 2 The Method of PTSD -- 2.1 PKM Algorithm -- 2.2 Boundary Identification for Traffic Sub-areas -- 3 Traffic Sub-areas Division -- 3.1 Data -- 3.2 The Results of Cluster -- 3.3 The Results of Division -- 4 Discussion -- 4.1 The Accuracy of PKM Algorithm -- 4.2 The Feasibility of PKM Algorithm -- 4.3 The Speedup of PKM Algorithm -- 4.4 The Reliability of PKM Algorithm -- 5 Conclusion -- References -- Metamodelling and Conceptual Modelling -- On the Social Network Based Semantic Annotation of Conceptual Models -- 1 Introduction -- 2 Foundations -- 2.1 Conceptual Visual Models -- 2.2 Semantic Annotation of Conceptual Models -- 2.3 Social Network Based Applications -- 3 Social Network Based Semantic Annotation of Conceptual Models -- 3.1 Model-Based Representation -- 3.2 Addition of Behavior -- 4 Discussion -- 5 Conclusion and Outlook -- References -- Development of an Evaluation Approach for Customer Service Interaction Models -- 1 Introduction -- 1.1 Background -- 1.2 Research Question and Objective -- 1.3 Approach -- 2 Related Works. , 3 Method and Con ncept: Evaluation of Consumer Service Interaction Mod dels -- 3.1 Service Process Rev view Platform -- 3.2 Service Interaction Views -- 4 Implementation n Results: Evaluation of Consumer Service Interaction Mod dels -- 4.1 Overview: Custome er Service Interaction Modelling Environment -- 4.2 Case Study: Service Interaction Models for Food Services -- 5 Implication -- 6 Conclusion -- References -- Developing Conceptual Modeling Tools Using a DSL -- 1 Introduction -- 2 Related Work -- 3 MM-DSL -- 3.1 Clarifying Design Decisions -- 3.2 Specification -- 4 A Prototype-Based Evaluation -- 4.1 A Pseudo Modeling Method: Requirements -- 4.2 An Implementation Using the MM-DSL -- 5 Conclusions and Further Evaluation Plans -- References -- Enterprise Knowledge -- The Core Elements of Corporate Knowledge Management and Their Reflection in Research and Practice - The Case of Knowledge Management Systems -- 1 Introduction -- 2 Literature Review -- 3 Research Objectives of the Study and Research Design -- 4 First Results - Corporate KM-Framework -- 5 Concluding Remarks and Limitations of the Study -- References -- Combining Bottom-Up and Top-Down Generation of Interactive Knowledge Maps for Enterprise Search -- 1 Introduction -- 1.1 Sublimating Data to the Conceptual Level -- 1.2 Vision -- 1.3 The Lokahi Approach to Knowledge Engineering -- 2 Related Work -- 2.1 Knowledge Technologies -- 2.2 Emergent Semantics for Knowledge Engineering -- 2.3 Enterprise Ontologies -- 3 Artefact Design -- 3.1 Bottom-Up Knowledge Extraction from Data -- 3.2 Top-Down Structuring of the Concept Graph Using Enterprise Ontologies -- 3.3 Integration of Bottom-Up and Top-Down Approaches to Knowledge Engineering -- 3.4 User Interface for Interactive Concept Browsing -- 4 Conclusions -- References. , A Modeling Procedure for Information and Material Flow Analysis Comprising Graphical Models, Rules and Animated Simulation -- 1 Introduction -- 2 Problem Statement and Background -- 2.1 The Maintenance Supply Chain -- 2.2 Problem Positioning -- 2.3 Proposed Solution -- 2.4 Related Literature -- 3 Conceptualization of a Domain-Specific Modeling Method -- 3.1 Modeling Language Requirements -- 3.2 Metamodel -- 3.3 Resided Modeling Classes and Relations -- 4 Dynamization o f the Model -- 4.1 Rules Syntax -- 4.2 Simulation and Ani imation -- 5 Modeling Proce dure -- 6 Proof of Concept -- 7 Conclusive SWOT Analysis -- References -- Knowledge Discovery and Retrieval -- A Practical Approach to Extracting Names of Geographical Entities and Their Relations from the Web -- 1 Introduction -- 2 The OMKast-Googling System -- 3 Building Initial Sets of Geo-Entities and Geo-Relations -- 3.1 Manually Collecting Geo-Entities from Chinese Publications -- 3.2 Generating GV0 and GR0 from GVinit Using the OMKast-Googling System -- 3.3 Iteratively Expanding GV0 and GR0 by the OMKast-Googling System -- 4 Extracting Neigborhood Relations for Geo-Entities in GV7 -- 5 Geo-Graph Checking in the OMKast-Googling System -- 5.1 Name Decontextualization -- 5.2 Geo-Entity Name Verification -- 5.3 Sink Node Handling -- 5.4 Hyponym Handling -- 5.5 Consistency Handling -- 6 Conclusion -- References -- An Improved Backtracking Search Algorithm for Constrained Optimization Problems -- 1 Introduction -- 2 Constraint Problem and Constraint Handling Method -- 2.1 Constraint Problem -- 2.2 Constraint Handling Method -- 3 Improved Backtracking Search Algorithm -- 3.1 BSA -- 3.2 Differential Evolution -- 3.3 Breeder Genetic Algorithm Mutation Operator -- 3.4 IBSA -- 4 Experiments -- 4.1 Results of the Proposed Method (IBSA) -- 4.2 Comparison with BSA Using Penalty Function. , 4.3 Comparison with Other Algorithms Using Penalty Function.