| Keynote Papers | |
| Flow Graphs and Decision Algorithms | p. 1 |
| The Quotient Space Theory of Problem Solving | p. 11 |
| Plenary Papers | |
| Granular Computing (Structures, Representations, and Applications) | p. 16 |
| Rough Sets: Trends and Challenges | p. 25 |
| A New Development on ANN in China - Biomimetic Pattern Recognition and Multi Weight Vector Neurons | p. 35 |
| On Generalizing Rough Set Theory | p. 44 |
| Dual Mathematical Models Based on Rough Approximations in Data Analysis | p. 52 |
| Knowledge Theory: Outline and Impact | p. 60 |
| A Rough Set Paradigm for Unifying Rough Set Theory and Fuzzy Set Theory | p. 70 |
| Extracting Structure of Medical Diagnosis: Rough Set Approach | p. 78 |
| A Kind of Linearization Method in Fuzzy Control System Modeling | p. 89 |
| A Common Framework for Rough Sets, Databases, and Bayesian Networks | p. 99 |
| Rough Sets, EM Algorithm, MST and Multispectral Image Segmentation | p. 104 |
| Rough Sets Foundations and Methods | |
| Rough Mereology: A Survey of New Developments with Applications to Granular Computing, Spatial Reasoning and Computing with Words | p. 106 |
| A New Rough Sets Model Based on Database Systems | p. 114 |
| A Rough Set and Rule Tree Based Incremental Knowledge Acquisition Algorithm | p. 122 |
| Comparison of Conventional and Rough K-Means Clustering | p. 130 |
| An Application of Rough Sets to Monk's Problems Solving | p. 138 |
| Pre-topologies and Dynamic Spaces | p. 146 |
| Rough Sets and Gradual Decision Rules | p. 156 |
| Explanation Oriented Association Mining Using Rough Set Theory | p. 165 |
| Probabilistic Rough Sets Characterized by Fuzzy Sets | p. 173 |
| A View on Rough Set Concept Approximations | p. 181 |
| Evaluation of Probabilistic Decision Tables | p. 189 |
| Query Answering in Rough Knowledge Bases | p. 197 |
| Upper and Lower Recursion Schemes in Abstract Approximation Spaces | p. 205 |
| Adaptive Granular Control of an HVDC System: A Rough Set Approach | p. 213 |
| Rough Set Approach to Domain Knowledge Approximation | p. 221 |
| Reasoning Based on Information Changes in Information Maps | p. 229 |
| Characteristics of Accuracy and Coverage in Rule Induction | p. 237 |
| Interpretation of Rough Neural Networks as Emergent Model | p. 245 |
| Using Fuzzy Dependency-Guided Attribute Grouping in Feature Selection | p. 250 |
| Conjugate Information Systems: Learning Cognitive Concepts in Rough Set Theory | p. 255 |
| A Rule Induction Method of Plant Disease Description Based on Rough Sets | p. 259 |
| Rough Set Data Analysis Algorithms for Incomplete Information Systems | p. 264 |
| Inconsistency Classification and Discernibility-Matrix-Based Approaches for Computing an Attribute Core | p. 269 |
| Multi-knowledge Extraction and Application | p. 274 |
| Multi-rough Sets Based on Multi-contexts of Attributes | p. 279 |
| Approaches to Approximation Reducts in Inconsistent Decision Tables | p. 283 |
| Degree of Dependency and Quality of Classification in the Extended Variable Precision Rough Sets Model | p. 287 |
| Approximate Reducts of an Information System | p. 291 |
| A Rough Set Methodology to Support Learner Self-Assessment in Web-Based Distance Education | p. 295 |
| A Synthesis of Concurrent Systems: A Rough Set Approach | p. 299 |
| Towards a Line-Crawling Robot Obstacle Classification System: A Rough Set Approach | p. 303 |
| Order Based Genetic Algorithms for the Search of Approximate Entropy Reducts | p. 308 |
| Variable Precision Bayesian Rough Set Model | p. 312 |
| Linear Independence in Contingency Table | p. 316 |
| The Information Entropy of Rough Relational Databases | p. 320 |
| A T-S Type of Rough Fuzzy Control System and Its Implementation | p. 325 |
| Rough Mereology in Knowledge Representation | p. 329 |
| Rough Set Methods for Constructing Support Vector Machines | p. 334 |
| The Lattice Property of Fuzzy Rough Sets | p. 339 |
| Querying Data from RRDB Based on Rough Sets Theory | p. 342 |
| An Inference Approach Based on Rough Sets | p. 346 |
| Classification Using the Variable Precision Rough Set | p. 350 |
| An Illustration of the Effect of Continuous Valued Discretisation in Data Analysis Using VPRSß | p. 354 |
| Fuzzy Sets and Systems | |
| Application of Fuzzy Control Base on Changeable Universe to Superheated Steam Temperature Control System | p. 358 |
| Application of Fuzzy Support Vector Machines in Short-Term Load Forecasting | p. 363 |
| A Symbolic Approximate Reasoning | p. 368 |
| Intuition in Soft Decision Analysis | p. 374 |
| Ammunition Supply Decision-Making System Design Based on Fuzzy Control | p. 378 |
| The Concept of Approximation Based on Fuzzy Dominance Relation in Decision-Making | p. 382 |
| An Image Enhancement Arithmetic Research Based on Fuzzy Set and Histogram | p. 386 |
| A Study on a Generalized FCM | p. 390 |
| Fuzzy Multiple Synapses Neural Network and Fuzzy Clustering | p. 394 |
| On Possibilistic Variance of Fuzzy Numbers | p. 398 |
| Granular Computing | |
| Deductive Data Mining. Mathematical Foundation of Database Mining | p. 403 |
| Information Granules for Intelligent Knowledge Structures | p. 405 |
| Design and Implement for Diagnosis Systems of Hemorheology on Blood Viscosity Syndrome Based on GrC | p. 413 |
| Granular Reasoning Using Zooming In & Out | p. 421 |
| A Pure Mereological Approach to Roughness | p. 425 |
| Neural Networks and Evolutionary Computing | |
| Knowledge Based Descriptive Neural Networks | p. 430 |
| Genetically Optimized Rule-Based Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies | p. 437 |
| Ant Colony Optimization for Navigating Complex Labyrinths | p. 445 |
| An Improved Quantum Genetic Algorithm and Its Application | p. 449 |
| Intelligent Generation of Candidate Sets for Genetic Algorithms in Very Large Search Spaces | p. 453 |
| Fast Retraining of Artificial Neural Networks | p. 458 |
| Fuzzy-ARTMAP and Higher-Order Statistics Based Blind Equalization | p. 462 |
| Comparison of BPL and RBF Network in Intrusion Detection System | p. 466 |
| Back Propagation with Randomized Cost Function for Training Neural Networks | p. 471 |
| Data Mining, Machine Learning, and Pattern Recognition | |
| Selective Ensemble of Decision Trees | p. 476 |
| A Maximal Frequent Itemset Algorithm | p. 484 |
| On Data Mining for Direct Marketing | p. 491 |
| A New Incremental Maintenance Algorithm of Data Cube | p. 499 |
| Data Mining for Motifs in DNA Sequences | p. 507 |
| Maximum Item First Pattern Growth for Mining Frequent Patterns | p. 515 |
| Extended Random Sets for Knowledge Discovery in Information Systems | p. 524 |
| Research on a Union Algorithm of Multiple Concept Lattices | p. 533 |
| A Theoretical Framework for Knowledge Discovery in Databases Based on Probabilistic Logic | p. 541 |
| An Improved Branch & Bound Algorithm in Feature Selection | p. 549 |
| Classification of Caenorhabditis Elegans Behavioural Phenotypes Using an Improved Binarization Method | p. 557 |
| Consensus versus Conflicts - Methodology and Applications | p. 565 |
| Interpolation Techniques for Geo-spatial Association Rule Mining | p. 573 |
| Imprecise Causality in Mined Rules | p. 581 |
| Sphere-Structured Support Vector Machines for Multi-class Pattern Recognition | p. 589 |
| HIPRICE-A Hybrid Model for Multi-agent Intelligent Recommendation | p. 594 |
| A Database-Based Job Management System | p. 598 |
| Optimal Choice of Parameters for a Density-Based Clustering Algorithm | p. 603 |
| An Improved Parameter Tuning Method for Support Vector Machines | p. 607 |
| Approximate Algorithm for Minimization of Decision Tree Depth | p. 611 |
| Virtual Reality Representation of Information Systems and Decision Rules: An Exploratory Technique for Understanding Data and Knowledge Structure | p. 615 |
| Hierarchical Clustering Algorithm Based on Neighborhood-Linked in Large Spatial Databases | p. 619 |
| Unsupervised Learning of Pattern Templates from Unannotated Corpora for Proper Noun Extraction | p. 623 |
| Approximate Aggregate Queries with Guaranteed Error Bounds | p. 627 |
| Improving Classification Performance by Combining Multiple | p. 631 |
| Image Recognition Using Adaptive Fuzzy Neural Network and Wavelet Transform | p. 635 |
| SOM Based Image Segmentation | p. 640 |
| User's Interests Navigation Model Based on Hidden Markov Model | p. 644 |
| Successive Overrelaxation for Support Vector Regression | p. 648 |
| Statistic Learning and Intrusion Detection | p. 652 |
| A New Association Rules Mining Algorithms Based on Directed Itemsets Graph | p. 660 |
| A Distributed Multidimensional Data Model of Data Warehouse | p. 664 |
| Logics and Reasoning | |
| An Overview of Hybrid Possibilistic Reasoning | p. 668 |
| Critical Remarks on the Computational Complexity in Probabilistic Inference | p. 676 |
| Critical Remarks on the Maximal Prime Decomposition of Bayesian Networks | p. 682 |
| A Non-local Coarsening Result in Granular Probabilistic Networks | p. 686 |
| Probabilistic Inference on Three-Valued Logic | p. 690 |
| Multi-dimensional Observer-Centred Qualitative Spatial-temporal Reasoning | p. 694 |
| Multi-agent Systems | |
| Architecture Specification for Design of Agent-Based System in Domain View | p. 697 |
| Adapting Granular Rough Theory to Multi-agent Context | p. 701 |
| How to Choose the Optimal Policy in Multi-agent Belief Revision? | p. 706 |
| Web Intelligence and Intelligent Systems | |
| Research of Atomic and Anonymous Electronic Commerce Protocol | p. 711 |
| Colored Petri Net Based Attack Modeling | p. 715 |
| Intelligent Real-Time Traffic Signal Control Based on a Paraconsistent Logic Program EVALPSN | p. 719 |
| Transporting CAN Messages over WATM | p. 724 |
| A Hybrid Intrusion Detection Strategy Used for Web Security | p. 730 |
| Mining Sequence Pattern from Time Series Based on Inter-relevant Successive Trees Model | p. 734 |
| Author Index | p. 739 |
| Table of Contents provided by Publisher. All Rights Reserved. |
