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Marzena Kryszkiewicz, James F. Peters, Henryk Rybinski and Andrzej Skowron
Front matter
1-4
Granular Computing and Rough Set Theory
5-11
Dominance-Based Rough Set Approach to Reasoning About Ordinal Data
12-21
Mining Numerical Data—A Rough Set Approach
22-28
Rough Sets and Approximation Schemes
29-39
Generalizing Data in Natural Language
40-50
Hierarchical Rough Classifiers
51-56
Discrete Duality and Its Applications to Reasoning with Incomplete Information
57-68
Toward Approximate Adaptive Learning
69-79
Granulation of Knowledge in Decision Systems: The Approach Based on Rough Inclusions. The Method and Its Applications
80-89
MIRAI: Multi-hierarchical, FS-Tree Based Music Information Retrieval System
90-100
Medical Reasoning and Rough Sets
101-112
The Art of Granular Computing
113-121
Dependencies in Structures of Decision Tables
122-132
Rough Sets and Vague Sets
133-141
Consistency-Degree Between Knowledges
142-151
On Three Closely Related Rough Inclusion Functions
152-161
Rough Set Theory from a Math-Assistant Perspective
162-174
Certain, Generalized Decision, and Membership Distribution Reducts Versus Functional Dependencies in Incomplete Systems
175-180
On Covering Attribute Sets by Reducts
181-191
Applying Rough Sets to Data Tables Containing Missing Values
192-201
Category-Based Rough Induction
202-210
Finding the Reduct Subject to Preference Order of Attributes
211-220
Transformation of Fuzzy Takagi-Sugeno Models into Piecewise Affine Models
221-229
Set Operations for L -Fuzzy Sets
230-240
Linguistic Summarization of Time Series Under Different Granulation of Describing Features
241-250
Type-2 Fuzzy Summarization of Data: An Improved News Generating
251-260
A Note on Granular Sets and Their Relation to Rough Sets
261-270
Inference and Reformation in Flow Graphs Using Granular Computing
271-279
On Granular Rough Computing with Missing Values
280-289
On Granular Rough Computing: Factoring Classifiers Through Granulated Decision Systems
290-299
A Rough Set Based Map Granule
300-309
Modeling of High Quality Granules
310-319
Attribute Core Computation Based on Divide and Conquer Method
320-331
Fast Discovery of Minimal Sets of Attributes Functionally Determining a Decision Attribute
332-339
A Simple Reduction Analysis and Algorithm Using Rough Sets
340-349
Mining Mass Spectrometry Database Search Results—A Rough Set Approach
350-359
Rough Set Approach to Spam Filter Learning
360-370
Web-Based Support Systems with Rough Set Analysis
371-380
Interpreting Low and High Order Rules: A Granular Computing Approach
381-390
Attribute Reduction Based on Fuzzy Rough Sets
391-399
On Logic with Fuzzy and Rough Powerset Monads
400-410
A Grey-Rough Set Approach for Interval Data Reduction of Attributes
411-416
Minimal Templates and Knowledge Discovery
417-426
Universal Attribute Reduction Problem
427-435
Applying Rough Set Theory to Medical Diagnosing
436-444
Graph-Based Knowledge Representations for Decision Support Systems
445-453
Rough Sets in Oligonucleotide Microarray Data Analysis
454-464
From an Information System to a Decision Support System
465-474
Optimization for MASK Scheme in Privacy Preserving Data Mining for Association Rules
475-484
Frequent Events and Epochs in Data Stream
485-494
Memory Efficient Algorithm for Mining Recent Frequent Items in a Stream
495-504
Outlier Detection: An Approximate Reasoning Approach
505-515
Discovering Compound and Proper Nouns
516-525
Discovering Synonyms Based on Frequent Termsets
526-533
A Summary Structure of Data Cube Preserving Semantics
534-542
Mining Association Rules with Respect to Support and Anti-support-Experimental Results
543-552
Developing Data Warehouse for Simulation Experiments
553-563
Classification of Complex Structured Objects on the Base of Similarity Degrees
564-573
Application of Parallel Decomposition for Creation of Reduced Feed-Forward Neural Networks
574-583
Combining Answers of Sub-classifiers in the Bagging-Feature Ensembles
584-593
Monotonic Behavior of Entropies and Co–entropies for Coverings with Respect to Different Quasi–orderings
594-602
Design and Implementation of Rough Rules Generation from Logical Rules on FPGA Board
603-612
A Computationally Efficient Nonlinear Predictive Control Algorithm with RBF Neural Models and Its Application
613-621
Operations on Interval Matrices
622-629
The Diffie–Hellman Problem in Lie Algebras
630-638
Software Defect Classification: A Comparative Study with Rough Hybrid Approaches
639-647
Dimensionality Reduction Using Rough Set Approach for Two Neural Networks-Based Applications
648-657
Decision Tables in Petri Net Models
658-667
Two Types of Generalized Variable Precision Formal Concepts
668-677
Dynamics of Approximate Information Fusion
678-686
Coevolution of a Fuzzy Rule Base for Classification Problems
687-696
Towards Agent-Based Evolutionary Planning in Transportation Systems
697-706
Exploiting Rough Argumentation in an Online Dispute Resolution Mediator
707-715
Semantic Service Discovery with QoS Measurement in Universal Network
716-725
Rough Sets in the Interpretation of Statistical Tests Outcomes for Genes Under Hypothetical Balancing Selection
726-735
Indiscernibility Relation for Continuous Attributes: Application in Image Recognition
736-745
Clustering of Leaf-Labelled Trees on Free Leafset
746-755
Checking Brain Expertise Using Rough Set Theory
756-763
Analysis of a Dobutamine Stress Echocardiography Dataset Using Rough Sets
764-773
An Improved SVM Classifier for Medical Image Classification
774-783
Searching for Metric Structure of Musical Files
784-792
Parameter-Based Categorization for Musical Instrument Retrieval
793-802
Automatic Singing Voice Recognition Employing Neural Networks and Rough Sets
803-812
A Learning-Based Model for Semantic Mapping from Natural Language Questions to OWL
813-823
Filtering and Sophisticated Data Processing for Web Information Gathering
824-834
An Investigation of Human Problem Solving System: Computation as an Example
Back matter
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