Transactions on Rough Sets IX by James F. PetersTransactions on Rough Sets IX by James F. Peters

Transactions on Rough Sets IX

byJames F. PetersEditorAndrzej Skowron, Henryk Rybinski

Paperback | December 18, 2008

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functions, rou- ness, singing voice recognition, and vagueness. A total of 47 researchers are represented in this volume.
Title:Transactions on Rough Sets IXFormat:PaperbackDimensions:751 pages, 23.5 × 15.5 × 0.07 inPublished:December 18, 2008Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3540898751

ISBN - 13:9783540898757

Reviews

Table of Contents

Vagueness and Roughness.- Modified Indiscernibility Relation in the Theory of Rough Sets with Real-Valued Attributes: Application to Recognition of Fraunhofer Diffraction Patterns.- On Certain Rough Inclusion Functions.- Automatic Rhythm Retrieval from Musical Files.- FUN: Fast Discovery of Minimal Sets of Attributes Functionally Determining a Decision Attribute.- Information Granulation: A Medical Case Study.- Maximum Class Separability for Rough-Fuzzy C-Means Based Brain MR Image Segmentation.- Approximation Schemes in Logic and Artificial Intelligence.- Decision Rule Based Data Models Using NetTRS System Overview.- A Rough Set Based Approach for ECG Classification.- Universal Problem of Attribute Reduction.- Extracting Relevant Information about Reduct Sets from Data Tables.- Context Algebras, Context Frames, and Their Discrete Duality.- A Study in Granular Computing: On Classifiers Induced from Granular Reflections of Data.- On Classifying Mappings Induced by Granular Structures.- The Neurophysiological Bases of Cognitive Computation Using Rough Set Theory.- Diagnostic Feature Analysis of a Dobutamine Stress Echocardiography Dataset Using Rough Sets.- Rules and Apriori Algorithm in Non-deterministic Information Systems.- On Extension of Dependency and Consistency Degrees of Two Knowledges Represented by Covering.- A New Approach to Distributed Algorithms for Reduct Calculation.- From Information System to Decision Support System.- Debellor: A Data Mining Platform with Stream Architecture.- Category-Based Inductive Reasoning: Rough Set Theoretic Approach.- Probabilistic Dependencies in Linear Hierarchies of Decision Tables.- Automatic Singing Voice Recognition Employing Neural Networks and Rough Sets.- Hierarchical Classifiers for Complex Spatio-temporal Concepts.

Editorial 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)