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 Papers
Author: Wojciech Ziarko, Yiyu Yao
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-43074-2
DOI: 10.1007/3-540-45554-X

Table 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