New Directions in Rough Sets, Data Mining, and Granular-Soft Computing: 7th International Workshop, RSFDGrC'99, Yamaguchi, Japan, November 9-11, 1999 Proceedings ... / Lecture Notes in Artificial Intelligence)

This book constitutes the refereed proceedings of the 7th International Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular-Soft Computing, RSFDGrC'99, held in Yamaguchi, Japan, in November 1999. The 45 revised regular papers and 15 revised short papers presented together with four invited contributions were carefully reviewed and selected from 89 submissions. The book is divided into sections on rough computing: foundations and applications, rough set theory and applications, fuzzy set theory and applications, nonclassical logic and approximate reasoning, information granulation and granular computing, data mining and knowledge discovery, machine learning, and intelligent agents and systems. This Volume Contains The Papers Selected For Presentation At The Seventh Int- National Workshop On Rough Sets, Fuzzy Sets, Data Mining, And Granular-soft Computing (rsfdgrc’99) Held In The Yamaguchi Resort Center, Ube, Y- Aguchi, Japan, November 9-11, 1999. The Workshop Was Organized By Inter- Tional Rough Set Society, Bisc Special Interest Group On Granular Comp- Ing (grc), Polish-japaneseinstitute Of Information Technology,and Yamaguchi University. Rsfdgrc’99providedaninternationalforumforsharingoriginalresearch Results And Practical Development Experiences Among Experts In These Emerging ?elds.an Importantfeatureoftheworkshopwasto Stresstheroleofthe Integ- Tion Of Intelligent Information Techniques. That Is, To Promote A Deep Fusion Of These Approaches To Ai, Soft Computing, And Database Communities In Order To Solve Real World, Large, Complex Problems Concerned With Uncertainty And Fuz- Ness. In Particular, Rough And Fuzzy Set Methods In Data Mining And Granular Computing Were On Display. The Total Of 89 Papers Coming From 21 Countries And Touching A Wide Spectrum Of Topics Related To Both Theory And Applications Were Submitted To Rsfdgrc’99. Out Of Them 45 Papers Were Selected For Regular Presentations And 15 For Short Presentations. Seven Technical Sessions Were Organized, Namely: Rough Set Theory And Its Applications; Fuzzy Set Theory And Its Applications; Non-classical Logic And Approximate Reasoning; Information Granulation And Granular Computing; Data Mining And Knowledge Discovery; Machine Lea- Ing; Intelligent Agents And Systems. Thersfdgrc’99programwasenrichedbyfourinvitedspeakers:zdzis Law Pawlak, Lot? A. Zadeh, Philip Yu, And Setsuo Arikawa, From Soft Computing, Database, And Ai Communities. A Special Session On Rough Computing: Fo- Dations And Applications Was Organized By James F. Peters. Invited Talks -- Decision Rules, Bayes’ Rule And Rough Sets -- A New Direction In System Analysis: From Computation With Measurements To Computation With Perceptions -- On Text Mining Techniques For Personalization -- A Road To Discovery Science -- Rough Computing: Foundations And Applications -- Calculi Of Granules Based On Rough Set Theory: Approximate Distributed Synthesis And Granular Semantics For Computing With Words -- Discovery Of Rules About Complications -- Rough Genetic Algorithms -- Classifying Faults In High Voltage Power Systems: A Rough-fuzzy Neural Computational Approach -- Rough Set Theory And Its Applications -- Toward Spatial Reasoning In The Framework Of Rough Mereology -- An Algorithm For Finding Equivalence Relations From Tables With Non-deterministic Information -- On The Extension Of Rough Sets Under Incomplete Information -- On Rough Relations: An Alternative Formulation -- Formal Rough Concept Analysis --^ Noise Reduction In Telecommunication Channels Using Rough Sets And Neural Networks -- Rough Set Analysis Of Electrostimulation Test Database For The Prediction Of Post-operative Profits In Cochlear Implanted Patients -- A Rough Set-based Approach To Text Classification -- Modular Rough Fuzzy Mlp: Evolutionary Design -- Approximate Reducts And Association Rules -- Handling Missing Values In Rough Set Analysis Of Multi-attribute And Multi-criteria Decision Problems -- The Generic Rough Set Inductive Logic Programming Model And Motifs In Strings -- Rough Problem Settings For Inductive Logic Programming -- Using Rough Sets With Heuristics For Feature Selection -- The Discretization Of Continuous Attributes Based On Compatibility Rough Set And Genetic Algorithm -- Fuzzy Set Theory And Its Applications -- Level Cut Conditioning Approach To The Necessity Measure Specification -- Four C-regression Methods And Classification Functions -- Context-free Fuzzy Sets In Data Mining Context --^ Applying Fuzzy Hypothesis Testing To Medical Data -- Generating A Macroeconomic Fuzzy Forecasting System Using Evolutionary Search -- Fuzzy Control Of Nonlinear Systems Using Nonlinearized Parameterization -- Control Of Chaotic Systems Using Fuzzy Model-based Regulators -- Fuzzy Behavior-based Control For The Obstacle Avoidance Of Multi-link Manipulators -- Fuzzy Future Value And Annual Cash Flow Analyses -- Semi-linear Equation With Fuzzy Parameters -- Non-classical Logic And Approximate Reasoning -- First Order Rough Logic-revisited -- A Generalized Decision Logic In Interval-set-valued Information Tables -- Many-valued Dynamic Logic For Qualitative Decision Theory -- Incorporating Fuzzy Set Theory And Matrix Logic In Multi-layer Logic -- Fuzzy Logic As Interfacing Media For Constraint Propagation Based On Theories Of Chu Space And Information Flow -- Pattern Reasoning: A New Solution For Knowledge Acquisition Problem --^ Probabilistic Inference And Bayesian Theorem Based On Logical Implication -- Reasoning With Neural Logic Networks -- The Resolution For Rough Propositional Logic With Lower (l) And Upper (h) Approximate Operators -- Information Granulation And Granular Computing -- Information Granules In Distributed Environment -- Evolving Granules For Classification For Discovering Difference In The Usage Of Words -- Interval Evaluation By Ahp With Rough Set Concept -- Interval Density Functions In Conflict Analysis -- Incorporating Personal Database Unification By Granular Computing -- Data Mining And Knowledge Discovery -- Knowledge-driven Discovery Of Operational Definitions -- A Closest Fit Approach To Missing Attribute Values In Preterm Birth Data -- Visualizing Discovered Rule Sets With Visual Graphs Based On Compressed Entropy Density -- A Distance-based Clustering And Selection Of Association Rules On Numeric Attributes -- Knowledge Discovery For Protein Tertiary Substructures --^ Integrating Classification And Association Rule Mining: A Concept Lattice Framework -- Using Rough Genetic And Kohonen’s Neural Network For Conceptual Cluster Discovery In Data Mining -- Towards Automated Optimal Equity Portfolios Discovery In A Knowledge Sharing Financial Data Warehouse -- Rule-evolver: An Evolutionary Approach For Data Mining -- Machine Learning -- Decision Making With Probabilistic Decision Tables -- The Iterated Version Space Learning -- An Empirical Study On Rule Quality Measures -- Rules As Attributes In Classifier Construction -- An Algorithm To Find The Optimized Network Structure In An Incremental Learning -- Patterns In Numerical Data: Practical Approximations To Kolmogorov Complexity -- Performance Prediction For Classification Systems -- Intelligent Agents And Systems -- Flexible Optimization And Evolution Of Underwater Autonomous Agents -- Ontology-based Multi-agent Model Of An Information Security System --^ Optimal Multi-scale Time Series Decomposition For Financial Forecasting Using Wavelet Thresholding Techniques -- Computerized Spelling Recognition Of Words Expressed In The Sound Approach -- An Adaptive Handwriting Recognition System. Ning Zhong, Andrzej Skowron, Setsuo Ohsuga (eds.). Includes Bibliographical References And Index. Front Matter....Pages - Decision Rules, Bayes’ Rule and Rough Sets....Pages 1-9 A New Direction in System Analysis: From Computation with Measurements to Computation with Perceptions....Pages 10-11 On Text Mining Techniques for Personalization....Pages 12-18 A Road to Discovery Science....Pages 19-19 Calculi of Granules Based on Rough Set Theory: Approximate Distributed Synthesis and Granular Semantics for Computing with Words....Pages 20-28 Discovery of Rules about Complications....Pages 29-37 Rough Genetic Algorithms....Pages 38-46 Classifying Faults in High Voltage Power Systems: A Rough-Fuzzy Neural Computational Approach....Pages 47-54 Toward Spatial Reasoning in the Framework of Rough Mereology....Pages 55-63 An Algorithm for Finding Equivalence Relations from Tables with Non-deterministic Information....Pages 64-72 On the Extension of Rough Sets under Incomplete Information....Pages 73-81 On Rough Relations: An Alternative Formulation....Pages 82-90 Formal Rough Concept Analysis....Pages 91-99 Noise Reduction in Telecommunication Channels Using Rough Sets and Neural Networks....Pages 100-108 Rough Set Analysis of Electrostimulation Test Database for the Prediction of Post-Operative Profits in Cochlear Implanted Patients....Pages 109-117 A Rough Set-Based Approach to Text Classification....Pages 118-127 Modular Rough Fuzzy MLP: Evolutionary Design....Pages 128-136 Approximate Reducts and Association Rules....Pages 137-145 Handling Missing Values in Rough Set Analysis of Multi-attribute and Multi-criteria Decision Problems....Pages 146-157 The Generic Rough Set Inductive Logic Programming Model and Motifs in Strings....Pages 158-167 Rough Problem Settings for Inductive Logic Programming....Pages 168-177 Using Rough Sets with Heuristics for Feature Selection....Pages 178-187 The Discretization of Continuous Attributes Based on Compatibility Rough Set and Genetic Algorithm....Pages 188-192 Level Cut Conditioning Approach to the Necessity Measure Specification....Pages 193-202 Four c -Regression Methods and Classification Functions....Pages 203-211 Context-Free Fuzzy Sets in Data Mining Context....Pages 212-220 Applying Fuzzy Hypothesis Testing to Medical Data....Pages 221-229 Generating a Macroeconomic Fuzzy Forecasting System Using Evolutionary Search....Pages 230-238 Fuzzy Control of Nonlinear Systems Using Nonlinearized Parameterization....Pages 239-247 Control of Chaotic Systems Using Fuzzy Model-Based Regulators....Pages 248-256 Fuzzy Behavior-Based Control for the Obstacle Avoidance of Multi-link Manipulators....Pages 257-265 Fuzzy Future Value and Annual Cash Flow Analyses....Pages 266-270 Semi-linear Equation with Fuzzy Parameters....Pages 271-275 First Order Rough Logic-Revisited....Pages 276-284 A Generalized Decision Logic in Interval-Set-Valued Information Tables....Pages 285-293 Many-Valued Dynamic Logic for Qualitative Decision Theory....Pages 294-303 Incorporating Fuzzy Set Theory and Matrix Logic in Multi-layer Logic....Pages 304-313 Fuzzy Logic as Interfacing Media for Constraint Propagation Based on Theories of Chu Space and Information Flow....Pages 314-323 Pattern Reasoning: A New Solution for Knowledge Acquisition Problem....Pages 324-333 Probabilistic Inference and Bayesian Theorem Based on Logical Implication....Pages 334-342 Reasoning with Neural Logic Networks....Pages 343-351 The Resolution for Rough Propositional Logic with Lower (L) and Upper (H) Approximate Operators....Pages 352-356 Information Granules in Distributed Environment....Pages 357-365 Evolving Granules for Classification for Discovering Difference in the Usage of Words....Pages 366-374 Interval Evaluation by AHP with Rough Set Concept....Pages 375-381 Interval Density Functions in Conflict Analysis....Pages 382-389 Incorporating Personal Database Unification by Granular Computing....Pages 390-394 Knowledge-Driven Discovery of Operational Definitions....Pages 395-404 A Closest Fit Approach to Missing Attribute Values in Preterm Birth Data....Pages 405-413 Visualizing Discovered Rule Sets with Visual Graphs Based on Compressed Entropy Density....Pages 414-422 A Distance-Based Clustering and Selection of Association Rules on Numeric Attributes....Pages 423-432 Knowledge Discovery for Protein Tertiary Substructures....Pages 433-442 Integrating Classification and Association Rule Mining: A Concept Lattice Framework....Pages 443-447 Using Rough Genetic and Kohonen’s Neural Network for Conceptual Cluster Discovery in Data Mining....Pages 448-452 Towards Automated Optimal Equity Portfolios Discovery in a Knowledge Sharing Financial Data Warehouse....Pages 453-457 Rule-Evolver: An Evolutionary Approach for Data Mining....Pages 458-462 Decision Making with Probabilistic Decision Tables....Pages 463-471 The Iterated Version Space Learning....Pages 472-481 An Empirical Study on Rule Quality Measures....Pages 482-491 Rules as Attributes in Classifier Construction....Pages 492-499 An Algorithm to Find the Optimized Network Structure in an Incremental Learning....Pages 500-508 Patterns in Numerical Data: Practical Approximations to Kolmogorov Complexity....Pages 509-513 Performance Prediction for Classification Systems....Pages 514-518 Flexible Optimization and Evolution of Underwater Autonomous Agents....Pages 519-527 Ontology-Based Multi-agent Model of an Information Security System....Pages 528-532 Optimal Multi-scale Time Series Decomposition for Financial Forecasting Using Wavelet Thresholding Techniques....Pages 533-542 Computerized Spelling Recognition of Words Expressed in the Sound Approach....Pages 543-550 An Adaptive Handwriting Recognition System....Pages 551-555 Back Matter....Pages -