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Transactions on Rough Sets XVII / edited by James F. Peters, Andrzej Skowron.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

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Format:
Book
Contributor:
Peters, James F., editor.
Skowron, Andrzej, editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Transactions on Rough Sets, 1861-2059 ; 8375.
Transactions on Rough Sets, 1861-2059 ; 8375
Language:
English
Subjects (All):
Pattern perception.
Numerical analysis.
Artificial intelligence.
Logic, Symbolic and mathematical.
Pattern Recognition.
Numeric Computing.
Artificial Intelligence.
Mathematical Logic and Formal Languages.
Local Subjects:
Pattern Recognition.
Numeric Computing.
Artificial Intelligence.
Mathematical Logic and Formal Languages.
Physical Description:
1 online resource (X, 294 pages) : 44 illustrations.
Edition:
First edition 2014.
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
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 XVII is 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. The research streams represented in the papers cover both theory and applications of rough, fuzzy and near sets as well as their combinations.
Contents:
Three-Valued Logics, Uncertainty Management and Rough Sets
Standard Errors of Indices in Rough Set Data Analysis
Proximity System: A Description-Based System for Quantifying the Nearness or Apartness of Visual Rough Sets
Rough Sets and Matroids
An Efficient Approach for Fuzzy Decision Reduct Computation
Rough Sets in Economy and Finance
Algorithms for Similarity Relation Learning from High Dimensional Data.
Other Format:
Printed edition:
ISBN:
978-3-642-54756-0
9783642547560
Access Restriction:
Restricted for use by site license.

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