What is included with this book?
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 |
Table of Contents provided by Ingram. All Rights Reserved. |
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