Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing 9th International Conference, RSFDGrC 2003, Chongqing, China, May 26-29, 2003, Proceedings

This volume contains the papers selected for presentation at the 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2003) held at Chongqing University of Posts and Telecommunications, Chongqing, P.R. China, May 26–29, 2003. There were 245 submissions for RSFDGrC 2003 excluding for 2 invited keynote papers and 11 invited plenary papers. Apart from the 13 invited papers, 114 papers were accepted for RSFDGrC 2003 and were included in this volume. The acceptance rate was only 46.5%. These papers were divided into 39 regular oral presentation papers (each allotted 8 pages), 47 short oral presentation papers (each allotted 4 pages) and 28 poster presentation papers (each allotted 4 pages) on the basis of reviewer evaluations. Each paper was reviewed by three referees. The conference is a continuation and expansion of the International Workshops on Rough Set Theory and Applications. In particular, this was the ninth meeting in the series and the first international conference. The aim of RSFDGrC2003 was to bring together researchers from diverse fields of expertise in order to facilitate mutual understanding and cooperation and to help in cooperative work aimed at new hybrid paradigms. It is our great pleasure to dedicate this volume to Prof. Zdzislaw Pawlak, who first introduced the basic ideas and definitions of rough sets theory over 20 years ago.

Keynote Papers.- Flow Graphs and Decision Algorithms.- The Quotient Space Theory of Problem Solving.- Plenary Papers.- Granular Computing.- Rough Sets: Trends and Challenges.- A New Development on ANN in China — Biomimetic Pattern Recognition and Multi Weight Vector Neurons.- On Generalizing Rough Set Theory.- Dual Mathematical Models Based on Rough Approximations in Data Analysis.- Knowledge Theory: Outline and Impact.- A Rough Set Paradigm for Unifying Rough Set Theory and Fuzzy Set Theory.- Extracting Structure of Medical Diagnosis: Rough Set Approach.- A Kind of Linearization Method in Fuzzy Control System Modeling.- A Common Framework for Rough Sets, Databases, and Bayesian Networks.- Rough Sets, EM Algorithm, MST and Multispectral Image Segmentation.- Rough Sets Foundations and Methods.- Rough Mereology: A Survey of New Developments with Applications to Granular Computing, Spatial Reasoning and Computing with Words.- A New Rough Sets Model Based on Database Systems.- A Rough Set and Rule Tree Based Incremental Knowledge Acquisition Algorithm.- Comparison of Conventional and Rough K-Means Clustering.- An Application of Rough Sets to Monk’s Problems Solving.- Pre-topologies and Dynamic Spaces.- Rough Sets and Gradual Decision Rules.- Explanation Oriented Association Mining Using Rough Set Theory.- Probabilistic Rough Sets Characterized by Fuzzy Sets.- A View on Rough Set Concept Approximations.- Evaluation of Probabilistic Decision Tables.- Query Answering in Rough Knowledge Bases.- Upper and Lower Recursion Schemes in Abstract Approximation Spaces.- Adaptive Granular Control of an HVDC System: A Rough Set Approach.- Rough Set Approach to Domain Knowledge Approximation.- Reasoning Based on Information Changes in Information Maps.- Characteristics of Accuracy and Coverage in Rule Induction.- Interpretation of Rough Neural Networks as Emergent Model.- Using Fuzzy Dependency-Guided Attribute Grouping in Feature Selection.- Conjugate Information Systems: Learning Cognitive Concepts in Rough Set Theory.- A Rule Induction Method of Plant Disease Description Based on Rough Sets.- Rough Set Data Analysis Algorithms for Incomplete Information Systems.- Inconsistency Classification and Discernibility-Matrix-Based Approaches for Computing an Attribute Core.- Multi-knowledge Extraction and Application.- Multi-rough Sets Based on Multi-contexts of Attributes.- Approaches to Approximation Reducts in Inconsistent Decision Tables.- Degree of Dependency and Quality of Classification in the Extended Variable Precision Rough Sets Model.- Approximate Reducts of an Information System.- A Rough Set Methodology to Support Learner Self-Assessment in Web-Based Distance Education.- A Synthesis of Concurrent Systems: A Rough Set Approach.- Towards a Line-Crawling Robot Obstacle Classification System: A Rough Set Approach.- Order Based Genetic Algorithms for the Search of Approximate Entropy Reducts.- Variable Precision Bayesian Rough Set Model.- Linear Independence in Contingency Table.- The Information Entropy of Rough Relational Databases.- A T-S Type of Rough Fuzzy Control System and Its Implementation.- Rough Mereology in Knowledge Representation.- Rough Set Methods for Constructing Support Vector Machines.- The Lattice Property of Fuzzy Rough Sets.- Querying Data from RRDB Based on Rough Sets Theory.- An Inference Approach Based on Rough Sets.- Classification Using the Variable Precision Rough Set.- An Illustration of the Effect of Continuous Valued Discretisation in Data Analysis Using VPRS?.- Fuzzy Sets and Systems.- Application of Fuzzy Control Base on Changeable Universe to Superheated Steam Temperature Control System.- Application of Fuzzy Support Vector Machines in Short-Term Load Forecasting.- A Symbolic Approximate Reasoning.- Intuition in Soft Decision Analysis.- Ammunition Supply Decision-Making System Design Based on Fuzzy Control.- The Concept of Approximation Based on Fuzzy Dominance Relation in Decision-Making.- An Image Enhancement Arithmetic Research Based on Fuzzy Set and Histogram.- A Study on a Generalized FCM.- Fuzzy Multiple Synapses Neural Network and Fuzzy Clustering.- On Possibilistic Variance of Fuzzy Numbers.- Granular Computing.- Deductive Data Mining.- Information Granules for Intelligent Knowledge Structures.- Design and Implement for Diagnosis Systems of Hemorheology on Blood Viscosity Syndrome Based on GrC.- Granular Reasoning Using Zooming In & Out.- A Pure Mereological Approach to Roughness.- Neural Networks and Evolutionary Computing.- Knowledge Based Descriptive Neural Networks.- Genetically Optimized Rule-Based Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies.- Ant Colony Optimization for Navigating Complex Labyrinths.- An Improved Quantum Genetic Algorithm and Its Application.- Intelligent Generation of Candidate Sets for Genetic Algorithms in Very Large Search Spaces.- Fast Retraining of Artificial Neural Networks.- Fuzzy-ARTMAP and Higher-Order Statistics Based Blind Equalization.- Comparison of BPL and RBF Network in Intrusion Detection System.- Back Propagation with Randomized Cost Function for Training Neural Networks.- Data Mining, Machine Learning, and Pattern Recognition.- Selective Ensemble of Decision Trees.- A Maximal Frequent Itemset Algorithm.- On Data Mining for Direct Marketing.- A New Incremental Maintenance Algorithm of Data Cube.- Data Mining for Motifs in DNA Sequences.- Maximum Item First Pattern Growth for Mining Frequent Patterns.- Extended Random Sets for Knowledge Discovery in Information Systems.- Research on a Union Algorithm of Multiple Concept Lattices.- A Theoretical Framework for Knowledge Discovery in Databases Based on Probabilistic Logic.- An Improved Branch & Bound Algorithm in Feature Selection.- Classification of Caenorhabditis Elegans Behavioural Phenotypes Using an Improved Binarization Method.- Consensus versus Conflicts — Methodology and Applications.- Interpolation Techniques for Geo-spatial Association Rule Mining.- Imprecise Causality in Mined Rules.- Sphere-Structured Support Vector Machines for Multi-class Pattern Recognition.- HIPRICE-A Hybrid Model for Multi-agent Intelligent Recommendation.- A Database-Based Job Management System.- Optimal Choice of Parameters for a Density-Based Clustering Algorithm.- An Improved Parameter Tuning Method for Support Vector Machines.- Approximate Algorithm for Minimization of Decision Tree Depth.- Virtual Reality Representation of Information Systems and Decision Rules: An Exploratory Technique for Understanding Data and Knowledge Structure.- Hierarchical Clustering Algorithm Based on Neighborhood-Linked in Large Spatial Databases.- Unsupervised Learning of Pattern Templates from Unannotated Corpora for Proper Noun Extraction.- Approximate Aggregate Queries with Guaranteed Error Bounds.- Improving Classification Performance by Combining Multiple TAN Classifiers.- Image Recognition Using Adaptive Fuzzy Neural Network and Wavelet Transform.- SOM Based Image Segmentation.- User’s Interests Navigation Model Based on Hidden Markov Model.- Successive Overrelaxation for Support Vector Regression.- Statistic Learning and Intrusion Detection.- A New Association Rules Mining Algorithms Based on Directed Itemsets Graph.- A Distributed Multidimensional Data Model of Data Warehouse.- Logics and Reasoning.- An Overview of Hybrid Possibilistic Reasoning.- Critical Remarks on the Computational Complexity in Probabilistic Inference.- Critical Remarks on the Maximal Prime Decomposition of Bayesian Networks.- A Non-local Coarsening Result in Granular Probabilistic Networks.- Probabilistic Inference on Three-Valued Logic.- Multi-dimensional Observer-Centred Qualitative Spatial-temporal Reasoning.- Multi-agent Systems.- Architecture Specification for Design of Agent-Based System in Domain View.- Adapting Granular Rough Theory to Multi-agent Context.- How to Choose the Optimal Policy in Multi-agent Belief Revision?.- Web Intelligence