Rough Computing: Theories, Technologies and Applications

by Hassanien, Aboul Ella

• ISBN13: 9781599045528
• ISBN10: 1599045524
• Format: Hardcover
• Copyright: 2007-08-31
• Publisher: Igi Global

Summary

Rough set theory is a new soft computing tool which deals with vagueness and uncertainty. It has attracted the attention of researchers and practitioners worldwide, and has been successfully applied to many fields such as knowledge discovery, decision support, pattern recognition, and machine learning.Rough Computing: Theories, Technologies and Applications 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, this commanding research collection provides libraries with a single, authoritative reference to this highly advanced technological topic.

Table of Contents

Preface	p. x
Acknowledgment	p. xiii
Foundations of Rough Sets
Foundations of Rough Sets from Vagueness Perspective	p. 1
Rough Sets and Boolean Reasoning	p. 38
Rough Set-Based Feature Selection: A Review	p. 70
Rough Set Analysis and Formal Concept Analysis	p. 108
Current Trends and Models
Rough Sets: A Versatile Theory for Approaches to Uncertainty Management in Databases	p. 129
Current Trends in Rough Set Flow Graphs	p. 152
Probabilistic Indices of Quality of Approximation	p. 162
Extended Action Rule Discovery Based on Single Classification Rules and Reducts	p. 175
Rough Sets and Hybrid Systems
Monocular Vision System that Learns with Approximation Spaces	p. 186
Hybridization of Rough Sets and Multi-Objective Evolutionary Algorithms for Classificatory Signal Decomposition	p. 204
Two Rough Set Approaches to Mining Hop Extraction Data	p. 228
Rough Sets for Discovering Concurrent System Models from Data Tables	p. 239
Compilation of References	p. 269
About the Contributors	p. 290
Index	p. 297
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