Transactions on Rough Sets XVI

The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, 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.
Volume XVI includes extensions of papers from the Rough Sets and Knowledge Technology Conference which was held in Banff, Canada, in October 2011. In addition this book contains a long paper based on a PhD thesis. The papers cover both theory and applications of rough, fuzzy and near sets. They offer a continuation of a number of research streams which have grown out of the seminal work by Zdzislaw Pawlak during the first decade of the 21st century.

List of contents

Generalized Probabilistic Approximations.- An Extension to Rough c-Means Clustering Algorithm Based on Boundary Area Elements Discrimination.- Granular Computing: Topological and Categorical Aspects of Near and Rough Set Approaches to Granulation of Knowledge.- The Concept of Reducts in Pawlak Three-Step Rough Set Analysis.- Nearness of Subtly Different Digital Images.- Semantic Clustering of Scientific Articles Using Explicit Semantic Analysis.- Maximal Clique Enumeration in Finding Near Neighbourhoods.- On Fuzzy Topological Structures of Rough Fuzzy Sets.- Approximation of Sets Based on Partial Covering.

Product details

• Assisted by: James F. Peters (Editor), Sheela Ramanna (Editor), Andrzej Skowron (Editor), Zbigniew Suraj (Editor), Xin Wang (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 19.01.2013
• EAN: 9783642365041
• ISBN: 978-3-642-36504-1
• No. of pages: 221
• Dimensions: 178 mm x 14 mm x 236 mm
• Weight: 358 g
• Illustrations: X, 221 p. 77 illus.
• Series: Lecture Notes in Computer Science; Transactions on Rough Sets
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > Application software; B, Artificial Intelligence, computer science, Computer Vision, Image Processing and Computer Vision, pattern recognition, Mathematics of Computing, Numerical analysis, Automated Pattern Recognition, Mathematical theory of computation, Optical data processing, Image processing, Mathematical logic, Mathematical Logic and Foundations, Mathematical Logic and Formal Languages, Numeric Computing