Transactions on Rough Sets VIII

Herausgegeben:Peters, James F.; Skowron, Andrzej

• Broschiertes Buch

Produktbeschreibung

VolumeVIIIoftheTransactions on Rough Sets (TRS)containsa widespectrum of contributions to the theory and applications of rough sets. The pioneering work by Prof. Zdzis law Pawlak led to the introduction of knowledge representation systems during the early 1970s and the discovery of rough sets during the early 1980s. During his lifetime, he nurtured worldwide interest in approximation, approximate reasoning, and rough set theory and its 1 applications . Evidence of the in?uence of Prof. Pawlak's work can be seen in the growth in the rough-set literature that now includes over 4000 publications 2 by more than 1900 authors in the rough set database as well as the growth and 3 maturity of the International Rough Set Society . This volume of TRS presents papers that introduce a number of new - vances in the foundations and applications of arti?cial intelligence, engineering, logic, mathematics, and science. These advances have signi?cant implications in a number of researchareas.In addition, it is evident from the papers included in this volume that roughset theoryand its application forma veryactiveresearch area worldwide. A total of 58 researchers from 11 countries are represented in this volume, namely, Australia, Canada, Chile, Germany, India, Poland, P.R. China, Oman, Spain, Sweden, and the USA. Evidence of the vigor,breadth, and depth of research in the theory and applications rough sets can be found in the articles in this volume. This volume contains 17 papers that explore a number of research streams.

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Produktdetails

• Lecture Notes in Computer Science 5084
• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 978-3-540-85063-2
• 2008
• Seitenzahl: 532
• Erscheinungstermin: 4. August 2008
• Englisch
• Abmessung: 235mm x 155mm x 29mm
• Gewicht: 796g
• ISBN-13: 9783540850632
• ISBN-10: 3540850635
• Artikelnr.: 26868184

Inhaltsangabe

Learning.- Research on Rough Set Theory and Applications in China.- Rough Neural Fault Classification of Power System Signals.

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Some Rough Consequence Logics and their Interrelations.- Local and Global Approximations for Incomplete Data.- A Rough Set Approach to Multiple Criteria ABC Analysis.- Partially Ordered Monads and Rough Sets.- A Rough Sets Approach to the Identification and Analysis of Factors Affecting Biological Control of Leafy Spurge.- Interpretation of Extended Pawlak Flow Graphs Using Granular Computing.- Generalized Indiscernibility Relations: Applications for Missing Values and Analysis of Structural Objects.- A Categorical Approach to Mereology and Its Application to Modelling Software Components.- Esoteric Rough Set Theory: Algebraic Semantics of a Generalized VPRS and VPFRS.- Domain Knowledge Assimilation by Learning Complex Concepts.- Information Quanta and Approximation Operators: Once More Around the Track.- On Partial Covers, Reducts and Decision Rules.- Evolutionary Rough k-Medoid Clustering.- The Rough Set Database System.- A Model of User-Oriented Reduct Construction for Machine Learning.- Research on Rough Set Theory and Applications in China.- Rough Neural Fault Classification of Power System Signals.

Rezensionen

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.

This book, which constitutes the eighth volume of the Transactions on Rough Sets series, contains a wide spectrum of contributions to the theory and applications of rough sets.

The 17 papers presented explore several research streams and introduce a number of new advances in the foundations and applications of artificial intelligence, engineering, logic, mathematics, and science.