Transactions on Rough Sets IX (Lecture Notes in Computer Science)

Transactions on Rough Sets IX (Lecture Notes in Computer Science)

by JamesF.Peters (Editor), Andrzej Skowron (Editor), HenrykRybinski (Editor)

Synopsis

Volume IX of the Transactions on Rough Sets (TRS) provides evidence of the continuing growth of a number of research streams that were either directly or indirectly begun by the seminal work on rough sets by Zdzis law Pawlak (1926- 1 2006) .OneoftheseresearchstreamsinspiredbyProf.Pawlakisroughset-based intelligent systems, a topic that was an important part of his early 1970s work on knowledge description systems prior to his discovery of rough sets during the early 1980s. Evidence of intelligent systems as a recurring motif over the past twodecadescanbefoundintherough-setliteraturethatnowincludesover4,000 2 publications by more than 1,600 authors in the rough set database . This volume of the TRS includes articles that are extensions of papers in- 3 cludedinthe?rstconferenceonRoughSetsandIntelligentSystemsParadigms . In addition to research on intelligent systems, this volume also presents papers that re?ect the profound in?uence of a number of other research initiatives by Zdzis law Pawlak. In particular, this volume introduces a number of new advances in the fo- dations and applications of arti?cial intelligence, engineering, image processing, logic, mathematics, medicine, music, and science. These advances have sign- icant implications in a number of research areas such as attribute reduction, approximation schemes, category-based inductive reasoning, classi?ers, classi- ing mappings, context algebras, data mining, decision attributes, decision rules, decision support, diagnostic feature analysis, EEG classi?cation, feature ana- sis, granular computing, hierarchical classi?ers, indiscernibility relations, inf- mationgranulation,informationsystems,musicalrhythm retrieval,probabilistic dependencies, reducts, rough-fuzzy C-means, rough inclusion functions, rou- ness, singing voice recognition, and vagueness. A total of 47 researchers are represented in this volume.

$140.26

Quantity

10 in stock

More Information

Format: Paperback
Pages: 751
Publisher: Springer
Published: 18 Dec 2008

ISBN 10: 3540898751
ISBN 13: 9783540898757

Media Reviews
From the reviews: Pawlak originally developed rough sets to be used in the same situations as Zadeh's better-known fuzzy sets ... . Although they are less popular than fuzzy sets, they do have a devoted following and are proven to be a good tool when properly applied. ... the quality and significance of the contributions vary considerably. ... the book emphasizes that rough set theory is a viable tool in artificial intelligence and other areas of data handling ... which makes it worth keeping in one's mental toolbox. (Jonathan Golan, ACM Computing Reviews, December, 2009)