| Introduction | |
| Rough Sets: Trends, Challenges, and Prospects | p. 1 |
| To What Extent Can Computers Aid Human Activity? Toward Second Phase Information Technology | p. 8 |
| Rough Sets and Decision Algorithms | p. 30 |
| Toward a Perception-Based Theory of Probabilistic Reasoning | p. 46 |
| Situation Identification by Unmanned Aerial Vehicle | p. 49 |
| Rough-Neuro Computing | p. 57 |
| Approximation of Information Granule Sets | p. 65 |
| Probabilistic Inference and Bayesian Theorem on Rough Sets | p. 73 |
| Interpreting Fuzzy Membership Functions in the Theory of Rough Sets | p. 82 |
| Dynamic System Visualization with Rough Performance Maps | p. 90 |
| Approximation Spaces of Type-Free Sets | p. 98 |
| RSES and RSESlib - A Collection of Tools for Rough Set Computations | p. 106 |
| An Investigation of [beta]-Reduct Selection Within the Variable Precision Rough Sets Model | p. 114 |
| Application of Discernibility Tables to Calculation of Approximate Frequency Based Reducts | p. 123 |
| Scalable Feature Selection Using Rough Set Theory | p. 131 |
| On Algorithm for Constructing of Decision Trees With Minimal Number of Nodes | p. 139 |
| Rough Set-Based Dimensionality Reduction for Multivariate Adaptive Regression Splines | p. 144 |
| Rough and Fuzzy-Rough Classification Methods Implemented in RClass System | p. 152 |
| Rough Set Approach to Decisions Under Risk | p. 160 |
| Variable Consistency Model of Dominance-Based Rough Sets Approach | p. 170 |
| Approximations and Rough Sets Based on Tolerances | p. 182 |
| A Rough Set Approach to Inductive Logic Programming | p. 190 |
| Classification of Infinite Information Systems | p. 199 |
| Some Remarks on Extensions and Restrictions of Information Systems | p. 204 |
| Valued Tolerance and Decision Rules | p. 212 |
| A Conceptual View of Knowledge Bases in Rough Set Theory | p. 220 |
| Computer Vision Using Fuzzy Logic for Robot Manipulator (Lab. Implementation) | p. 229 |
| On Fuzzy Lattice | p. 238 |
| Fuzzy-Logic-Based Adaptive Control for a Class of Nonlinear Discrete-Time System | p. 243 |
| Conditional Probability Relations in Fuzzy Relational Database | p. 251 |
| A New Class of Necessity Measures and Fuzzy Rough Sets Based on Certainty Qualifications | p. 261 |
| A Fuzzy Approach for Approximating Formal Concepts | p. 269 |
| On Axiomatic Characterizations of Fuzzy Approximation Operators (I. The Fuzzy Rough Set Based Case) | p. 277 |
| LEM3 Algorithm Generalization Based on Stochastic Approximation Space | p. 286 |
| Using the Apriori Algorithm to Improve Rough Sets Results | p. 291 |
| An Application for Knowledge Discovery Based on a Revision of VPRS Model | p. 296 |
| An Algorithm for Induction of Decision Rules Consistent with the Dominance Principle | p. 304 |
| Data Mining for Monitoring Loose Parts in Nuclear Power Plants | p. 314 |
| Supervised Learning: A Generalized Rough Set Approach | p. 322 |
| Unification of Knowledge Discovery and Data Mining Using Rough Sets Approach in a Real-World Application | p. 330 |
| The Application of a Distance Learning Algorithm in Web-Based Course Delivery | p. 338 |
| Searching Decision Rules in Very Large Databases Using Rough Set Theory | p. 346 |
| On Efficient Construction of Decision Trees from Large Databases | p. 354 |
| An Approach to Statistical Extension of Rough Set Rule Induction | p. 362 |
| The Inconsistency in Rough Set Based Rule Generation | p. 370 |
| A Comparison of Several Approaches to Missing Attribute Values in Data Mining | p. 378 |
| Discovering Motiv Based Association Rules in a Set of DNA Sequences | p. 386 |
| Inducing Theory for the Rule Set | p. 391 |
| Some Basics of a Self Organizing Map (SOM) Extended Model for Information Discovery in a Digital Library Context | p. 399 |
| Handling Data with Plural Sources in Databases | p. 404 |
| Research Topics Discovery from WWW by Keywords Association Rules | p. 412 |
| Temporal Templates and Analysis of Time Related Data | p. 420 |
| Constraint Based Incremental Learning of Classification Rules | p. 428 |
| A Hybrid Model for Rule Discovery in Data | p. 436 |
| Rough Sets in Approximate Spatial Reasoning | p. 445 |
| A Study of Conditional Independence Change in Learning Probabilistic Network | p. 454 |
| [lambda]-Level Rough Equality Relation and the Inference of Rough Paramodulation | p. 462 |
| Annotated Semantics for Defeasible Deontic Reasoning | p. 470 |
| Spatial Reasoning via Rough Sets | p. 479 |
| Decomposition of Boolean Relations and Functions in Logic Synthesis and Data Analysis | p. 487 |
| Diagnostic Reasoning from the Viewpoint of Rough Sets | p. 495 |
| Rough Set Approach to CBR | p. 503 |
| Rough Sets for Uncertainty Reasoning | p. 511 |
| Feature Subset Selection by Neuro-rough Hybridization | p. 519 |
| Accurate Estimation of Motion Vectors Using Active Block Matching | p. 527 |
| Anytime Algorithm for Feature Selection | p. 532 |
| Reconstruction in an Original Video Sequence of the Lost Region Occupied by Caption Areas | p. 540 |
| Determining Influence of Visual Cues on the Perception of Surround Sound Using Soft Computing | p. 545 |
| Application of Normalized Decision Measures to the New Case Classification | p. 553 |
| An Application of Rough Sets and Haar Wavelets to Face Recognition | p. 561 |
| Detecting Spots for NASA Space Programs Using Rough Sets | p. 569 |
| Solving the Localization-Detection Trade-Off in Shadow Recognition Problems Using Rough Sets | p. 577 |
| A Modular Neural Network for Vague Classification | p. 584 |
| Evolutionary Parsing for a Probabilistic Context Free Grammar | p. 590 |
| The Application of Genetic Programming in Milk Yield Prediction For Dairy Cows | p. 598 |
| Localization of Sound Sources by Means of Recurrent Neural Networks | p. 603 |
| Towards Rough Neural Computing Based on Rough Membership Functions Theory and Application | p. 611 |
| The Nature of Crossover Operator in Genetic Algorithms | p. 619 |
| The Behaviour of the Complex Integral Neural Network | p. 624 |
| On Trace Assertion Method of Module Interface Specification with Concurrency | p. 632 |
| A Proposal for Including Behavior in the Process of Object Similarity Assessment with Examples from Artificial Life | p. 642 |
| How Can Help an Inductive Approach in the Resolution of a Problematic [alpha] Problem? | p. 647 |
| A Timed Petri Net Interpreter: An Alternative Method for Simulation | p. 652 |
| An Agent-Based Soft Computing Society | p. 661 |
| Author Index | p. 669 |
| Table of Contents provided by Blackwell. All Rights Reserved. |
