Transactions on Rough Sets XVI / edited by James F. Peters, Andrzej Skowron, Sheela Ramanna, Zbigniew Suraj, Xin Wang.

Format:

Book

Contributor:

Peters, James F., editor.

Skowron, Andrzej, editor.

Ramanna, Sheela, editor.

Suraj, Zbigniew, editor.

Wang, Xin, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Transactions on Rough Sets, 1861-2059 ; 7736.

Transactions on Rough Sets, 1861-2059 ; 7736

Language:

English

Subjects (All):

Pattern perception.

Artificial intelligence.

Logic, Symbolic and mathematical.

Numerical analysis.

Optical data processing.

Pattern Recognition.

Artificial Intelligence.

Mathematical Logic and Formal Languages.

Numeric Computing.

Image Processing and Computer Vision.

Local Subjects:

Pattern Recognition.

Artificial Intelligence.

Mathematical Logic and Formal Languages.

Numeric Computing.

Image Processing and Computer Vision.

Physical Description:

1 online resource (X, 221 pages) : 77 illustrations.

Edition:

First edition 2013.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.

System Details:

text file PDF

Summary:

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.

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.

Other Format:

Printed edition:

ISBN:

978-3-642-36505-8

9783642365058

Access Restriction:

Restricted for use by site license.