Transactions on Rough Sets I: James F. Peters – Andrzej Skowron, Editors-in-Chief

Zdzisław Pawlak (auth.), James F. Peters, Andrzej Skowron, Jerzy W. Grzymała-Busse, Bożena Kostek, Roman W. Świniarski, Marcin S. Szczuka (eds.)3540223746, 9783540223740, 9783540277941

The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, starting from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence.

This first volume of the Transactions on Rough Sets opens with an introductory article by Zdzislaw Pawlak, the originator of rough sets. Nine papers deal with rough set theory and eight are devoted to applications in various domains.

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Table of contents :
Front Matter….Pages –
Some Issues on Rough Sets….Pages 1-58
Learning Rules from Very Large Databases Using Rough Multisets….Pages 59-77
Data with Missing Attribute Values: Generalization of Indiscernibility Relation and Rule Induction….Pages 78-95
Generalizations of Rough Sets and Rule Extraction….Pages 96-119
Towards Scalable Algorithms for Discovering Rough Set Reducts….Pages 120-143
Variable Precision Fuzzy Rough Sets….Pages 144-160
Greedy Algorithm of Decision Tree Construction for Real Data Tables….Pages 161-168
Consistency Measures for Conflict Profiles….Pages 169-186
Layered Learning for Concept Synthesis….Pages 187-208
Basic Algorithms and Tools for Rough Non-deterministic Information Analysis….Pages 209-231
A Partition Model of Granular Computing….Pages 232-253
Musical Phrase Representation and Recognition by Means of Neural Networks and Rough Sets….Pages 254-278
Processing of Musical Metadata Employing Pawlak’s Flow Graphs….Pages 279-298
Data Decomposition and Decision Rule Joining for Classification of Data with Missing Values….Pages 299-320
Rough Sets and Relational Learning….Pages 321-337
Approximation Space for Software Models….Pages 338-355
Application of Rough Sets to Environmental Engineering Models….Pages 356-374
Rough Set Theory and Decision Rules in Data Analysis of Breast Cancer Patients….Pages 375-391
Independent Component Analysis, Principal Component Analysis and Rough Sets in Face Recognition….Pages 392-404
Back Matter….Pages –