Abstract is missing.
- Elementary Rough Set Granules: Toward a Rough Set ProcessorZdzislaw Pawlak. 5-14
- Rough-Neuro Computing: An IntroductionSankar Kumar Pal, James F. Peters, Lech Polkowski, Andrzej Skowron. 15-42
- Information Granules and Rough-NeurocomputingAndrzej Skowron, Jaroslaw Stepaniuk. 43-84
- A Rough-Neural Computation Model Based on Rough MereologyLech Polkowski. 85-108
- Knowledge-Based Networking in GranularWorldsWitold Pedrycz. 109-138
- Adaptive Aspects of Combining Approximation SpacesJakub Wróblewski. 139-156
- Algebras from Rough SetsMohua Banerjee, Mihir K. Chakraborty. 157-188
- Approximation Transducers and Trees: A Technique for Combining Rough and Crisp KnowledgePatrick Doherty, Witold Lukaszewicz, Andrzej Skowron, Andrzej Szalas. 189-218
- Using Contextually Closed Queries for Local Closed-World Reasoning in Rough Knowledge DatabasesPatrick Doherty, Jaroslaw Kachniarz, Andrzej Szalas. 219-250
- On Model Evaluation, Indexes of Importance, and Interaction Values in Rough Set AnalysisGünther Gediga, Ivo Düntsch. 251-276
- New Fuzzy Rough Sets Based on Certainty QualificationMasahiro Inuiguchi, Tetsuzo Tanino. 277-296
- Toward Rough Datalog: Embedding Rough Sets in PrologJan Maluszynski, Aida Vitória. 297-332
- On Exploring Soft Discretization of Continuous AttributesHung Son Nguyen. 333-350
- Rough-SOM with Fuzzy DiscretizationSankar Kumar Pal, Biswarup Dasgupta, Pabitra Mitra. 351-372
- Biomedical Inference: A Semantic ModelJan Doroszewski. 373-410
- Fundamental Mathematical Notions of the Theory of Socially Embedded Games: A Granular Computing PerspectiveAnna Gomolinska. 411-434
- Fuzzy Games and Equilibria: The Perspective of the General Theory of Games on Nash and Normative EquilibriaTom R. Burns, Ewa Roszkowska. 435-470
- Rough Neurons: Petri Net Models and ApplicationsJames F. Peters, Sheela Ramanna, Zbigniew Suraj, Maciej Borkowski. 471-490
- Information Granulation in a Decision-Theoretical Model of Rough SetsYiyu Yao. 491-520
- Intelligent Acquisition of Audio Signals Employing Neural Networks and Rough Set AlgorithmsAndrzej Czyzzewski. 521-542
- An Approach to Imbalanced Data Sets Based on Changing Rule StrengthJerzy W. Grzymala-Busse, Linda K. Goodwin, Witold J. Grzymala-Busse, Xinqun Zheng. 543-554
- 22 Rough-Neuro Approach to Testing the Influence of Visual Cues on Surround Sound PerceptionBozena Kostek. 555-572
- Handwritten Digit Recognition Using Adaptive Classifier Construction TechniquesTuan Trung Nguyen. 573-586
- From Rough through Fuzzy to Crisp Concepts: Case Study on Image Color Temperature DescriptionWladyslaw Skarbek. 587-598
- Information Granulation and Pattern RecognitionAndrzej Skowron, Roman W. Swiniarski. 599-636
- Computational Analysis of Acquired Dyslexia of Kanji Characters based on Conventional and Rough Neural NetworksShusaku Tsumoto. 637-648
- 27 WaRS: A Method for Signal ClassificationPiotr Wojdyllo. 649-688
- A Hybrid Model for Rule Discovery in DataNing Zhong 0001, Chunnian Liu, Juzhen Dong, Setsuo Ohsuga. 689-722