Rough Sets and Current Trends in Computing

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