Rough Sets and Current Trends in Computing
Subtitle: Second International Conference, RSCTC 2000 Banff, Canada, October 16-19, 2000 Revised Papers (Lecture Notes ... / Lecture Notes in Artificial Intelligence)
Contributors: Wojciech Ziarko (Editor); Yiyu Yao (Editor)
Edition: 1 edition
Publisher: Springer
Published: February 5, 2002
Language: eng
Format: Paperback
Number of pages: 670
ISBN-13: 9783540430742
Subjects: Artificial intelligence; Mathematical logic; Mathematical theory of computation; Robotics; Electronic data processing; Theory Of Computing; Computers; Medical / Nursing; Computer Books: General; Set Theory; General; Artificial Intelligence - General; Computer Science; Computers / Artificial Intelligence; Rough sets; classifier systems; data mining; evolutionary computing; Congresses
Description: Rough Sets and Current Trends in Computing: Second International Conference, RSCTC 2000 Banff, Canada, October 16–19, 2000 Revised Papers<br />Author: Wojciech Ziarko, Yiyu Yao<br /> Published by Springer Berlin Heidelberg<br /> ISBN: 978-3-540-43074-2<br /> DOI: 10.1007/3-540-45554-X<br /><br />Table of Contents:<p></p><ul><li>Rough Sets: Trends, Challenges, and Prospects
</li><li>To What Extent Can Computers Aid Human Activity? Toward Second Phase Information Technology
</li><li>Rough Sets and Decision Algorithms
</li><li>Toward a Perception-Based Theory of Probabilistic Reasoning
</li><li>Situation Identification by Unmanned Aerial Vehicle
</li><li>Rough-Neuro Computing
</li><li>Approximation of Information Granule Sets
</li><li>Probabilistic Inference and Bayesian Theorem on Rough Sets
</li><li>Interpreting Fuzzy Membership Functions in the Theory of Rough Sets
</li><li>Dynamic System Visualization with Rough Performance Maps
</li><li>Approximation Spaces of Type-Free Sets
</li><li>RSES and RSESlib - A Collection of Tools for Rough Set Computations
</li><li>An Investigation of β-Reduct Selection within the Variable Precision Rough Sets Model
</li><li>Application of Discernibility Tables to Calculation of Approximate Frequency Based Reducts
</li><li>Scalable Feature Selection Using Rough Set Theory
</li><li>On Algorithm for Constructing of Decision Trees with Minimal Number of Nodes
</li><li>Rough Set-Based Dimensionality Reduction for Multivariate Adaptive Regression Splines
</li><li>Rough, and Fuzzy-Rough Classification Methods Implemented in RClass System
</li><li>Rough Set Approach to Decisions under Risk
</li><li>Variable Consistency Model of Dominance-Based Rough Sets Approach</li></ul>