Rough Computing: Theories, Technologies and Applications

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  • Format: Hardcover
  • Copyright: 2007-08-31
  • Publisher: Igi Global

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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

Prefacep. x
Acknowledgmentp. xiii
Foundations of Rough Sets
Foundations of Rough Sets from Vagueness Perspectivep. 1
Rough Sets and Boolean Reasoningp. 38
Rough Set-Based Feature Selection: A Reviewp. 70
Rough Set Analysis and Formal Concept Analysisp. 108
Current Trends and Models
Rough Sets: A Versatile Theory for Approaches to Uncertainty Management in Databasesp. 129
Current Trends in Rough Set Flow Graphsp. 152
Probabilistic Indices of Quality of Approximationp. 162
Extended Action Rule Discovery Based on Single Classification Rules and Reductsp. 175
Rough Sets and Hybrid Systems
Monocular Vision System that Learns with Approximation Spacesp. 186
Hybridization of Rough Sets and Multi-Objective Evolutionary Algorithms for Classificatory Signal Decompositionp. 204
Two Rough Set Approaches to Mining Hop Extraction Datap. 228
Rough Sets for Discovering Concurrent System Models from Data Tablesp. 239
Compilation of Referencesp. 269
About the Contributorsp. 290
Indexp. 297
Table of Contents provided by Ingram. All Rights Reserved.

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