Transactions on Rough Sets IX

• 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.

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)