Rough computing theories, technologies, and applications /

• Corporate Author: IGI Global.
• Other Authors: Hassanien, Aboul Ella.
• Format: Electronic
• Language: English
• Published: Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2008.
• Subjects: Soft computing.; Rough sets.; Approximation spaces; Belief networks; Belief SEEKER System; Classificatory signal decomposition; Direct rule induction; Extended action rule discovery; Formal concept analysis; Foundations of rough sets; Hop extraction process; Hybridization of rough sets; Mining hop extraction data; Models from data tables; Monocular vision system; Multi-objective evolutionary algorithms; Probabilistic indices; Quality of approximation; Rough set analysis; Rough set-based feature selection; Rough set flow graphs; Rough sets and Boolean reasoning; Single classification rules and reducts; Uncertainty management; Vagueness perspective
• Online Access: View fulltext via EzAccess

"This book offers the most comprehensive coverage of key rough computing research, surveying a full range of topics from granular computing to pansystems theory. With its unique coverage of the defining issues of the field, it provides libraries with a single, authoritative reference to this hi...

Table of Contents:

• 1. Foundations of rough sets from vagueness perspective / Piotr Wasilewski, Dominik Slezak
• 2. Rough sets and Boolean reasoning / Hung Nguyen
• 3. Rough set-based feature selection / Richard Jensen
• 4. Rough set analysis and formal concept analysis / Yiyu Yao
• 5. Rough sets / Theresa Beaubouef, Frederick Petry
• 6. Current trends in rough set flow graphs / Cory Butz
• 7. Probabilistic Indices of quality of approximation / Annibal Sant
• 8. Extended action rule discovery based on single classification rules and reducts / Zbigniew Ras, Elzbieta Wyrzykowska
• 9. Monocular vision system that learns with approximation spaces / James Peters
• 10. Hybridization of rough sets and multi-objective evolutionary algorithms for classificatory signal decomposition / Tomasz Smolinski, Astrid Prinz
• 11. Two rough set approaches to mining hop extraction data / Jerzy Grzymala-Busse, Zdzislaw Hippe, Teresa Mroczek
• 12. Rough sets for discovering concurrent system models from data tables / Krzysztof Pancerz, Zbigniew Suraj.