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 XV offers a number of research streams that have grown out of the seminal work by Zdzislaw Pawlak. The 4 contributions included in this volume presents a rough set approach in machine learning; the introduction of multi-valued near set theory; the advent of a complete system that supports a rough-near set approach to digital image analysis; and an exhaustive study of the mathematics of vagueness.
Edited by:
James F. Peters, Andrzej Skowron Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K Country of Publication: Germany Edition: 2012 ed. Volume: 7255 Dimensions:
Height: 235mm,
Width: 155mm,
Spine: 10mm
Weight: 454g ISBN:9783642319020 ISBN 10: 3642319025 Series:Lecture Notes in Computer Science Pages: 181 Publication Date:18 July 2012 Audience:
Professional and scholarly
,
Undergraduate
Format:Paperback Publisher's Status: Active