Rough Sets and Current Trends in Computing: Second International Conference, RSCTC 2000 Banff, Canada, October 16–19, 2000 Revised PapersAuthor: Wojciech Ziarko, Yiyu Yao Published by Springer Berlin Heidelberg ISBN: 978-3-540-43074-2 DOI: 10.1007/3-540-45554-XTable of Contents:Rough Sets: Trends, Challenges, and Prospects To What Extent Can Computers Aid Human Activity? Toward Second Phase Information Technology Rough Sets and Decision Algorithms Toward a Perception-Based Theory of Probabilistic Reasoning Situation Identification by Unmanned Aerial Vehicle Rough-Neuro Computing Approximation of Information Granule Sets Probabilistic Inference and Bayesian Theorem on Rough Sets Interpreting Fuzzy Membership Functions in the Theory of Rough Sets Dynamic System Visualization with Rough Performance Maps Approximation Spaces of Type-Free Sets RSES and RSESlib - A Collection of Tools for Rough Set Computations An Investigation of β-Reduct Selection within the Variable Precision Rough Sets Model Application of Discernibility Tables to Calculation of Approximate Frequency Based Reducts Scalable Feature Selection Using Rough Set Theory On Algorithm for Constructing of Decision Trees with Minimal Number of Nodes Rough Set-Based Dimensionality Reduction for Multivariate Adaptive Regression Splines Rough, and Fuzzy-Rough Classification Methods Implemented in RClass System Rough Set Approach to Decisions under Risk Variable Consistency Model of Dominance-Based Rough Sets Approach, Includes bibliographical references and index