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

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. 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 - We would like to present, with great pleasure, the ?rst volume of a new jo- nal, Transactions on Rough Sets. This journal, part of the new journal subline in the Springer-Verlag series Lecture Notes in Computer Science, is devoted to the entire spectrum of rough set related issues, starting from logical and ma- ematical foundations of rough sets, through all aspects of rough set theory and its applications, 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, theory of evidence, etc. The ?rst, pioneering papers on rough sets, written by the originator of the idea, ProfessorZdzis lawPawlak, werepublishedintheearly1980s.Weareproud to dedicate this volume to our mentor, Professor Zdzis law Pawlak, who kindly enriched this volume with his contribution on philosophical, logical, and mat- matical foundations of roughset theory. In his paper Professor Pawlakshows all over again the underlying ideas of rough set theory as well as its relations with Bayes' theorem, con?ict analysis, ?ow graphs, decision networks, and decision rules.