Table of Contents

• Granular Computing and Rough Set TheoryLotfi A. Zadeh. 1-4 [doi]
• Dominance-Based Rough Set Approach to Reasoning About Ordinal DataRoman Slowinski, Salvatore Greco, Benedetto Matarazzo. 5-11 [doi]
• Mining Numerical Data - A Rough Set ApproachJerzy W. Grzymala-Busse. 12-21 [doi]
• Rough Sets and Approximation SchemesVictor W. Marek, Miroslaw Truszczynski. 22-28 [doi]
• Generalizing Data in Natural LanguageRyszard S. Michalski, Janusz Wojtusiak. 29-39 [doi]
• Hierarchical Rough ClassifiersSinh Hoa Nguyen, Hung Son Nguyen. 40-50 [doi]
• Discrete Duality and Its Applications to Reasoning with Incomplete InformationEwa Orlowska, Ingrid Rewitzky. 51-56 [doi]
• Toward Approximate Adaptive LearningJames F. Peters. 57-68 [doi]
• Granulation of Knowledge in Decision Systems: The Approach Based on Rough Inclusions. The Method and Its ApplicationsLech Polkowski. 69-79 [doi]
• MIRAI: Multi-hierarchical, FS-Tree Based Music Information Retrieval SystemZbigniew W. Ras, Xin Zhang, Rory A. Lewis. 80-89 [doi]
• Medical Reasoning and Rough SetsShusaku Tsumoto. 90-100 [doi]
• The Art of Granular ComputingYiyu Yao. 101-112 [doi]
• Dependencies in Structures of Decision TablesWojciech Ziarko. 113-121 [doi]
• Rough Sets and Vague SetsZbigniew Bonikowski, Urszula Wybraniec-Skardowska. 122-132 [doi]
• Consistency-Degree Between KnowledgesMihir K. Chakraborty, P. Samanta. 133-141 [doi]
• On Three Closely Related Rough Inclusion FunctionsAnna Gomolinska. 142-151 [doi]
• Rough Set Theory from a Math-Assistant PerspectiveAdam Grabowski, Magdalena Jastrzebska. 152-161 [doi]
• Certain, Generalized Decision, and Membership Distribution Reducts Versus Functional Dependencies in Incomplete SystemsMarzena Kryszkiewicz. 162-174 [doi]
• On Covering Attribute Sets by ReductsMikhail Ju. Moshkov, Andrzej Skowron, Zbigniew Suraj. 175-180 [doi]
• Applying Rough Sets to Data Tables Containing Missing ValuesMichinori Nakata, Hiroshi Sakai. 181-191 [doi]
• Category-Based Rough InductionMarcin Wolski. 192-201 [doi]
• Finding the Reduct Subject to Preference Order of AttributesXiaofeng Zhang, Yongsheng Zhao, Hailin Zou. 202-210 [doi]
• Transformation of Fuzzy Takagi-Sugeno Models into Piecewise Affine ModelsMartin Herceg, Michal Kvasnica, Miroslav Fikar. 211-220 [doi]
• Set Operations for ::::L:::: -Fuzzy SetsJouni Järvinen. 221-229 [doi]
• Linguistic Summarization of Time Series Under Different Granulation of Describing FeaturesJanusz Kacprzyk, Anna Wilbik, Slawomir Zadrozny. 230-240 [doi]
• Type-2 Fuzzy Summarization of Data: An Improved News GeneratingAdam Niewiadomski. 241-250 [doi]
• A Note on Granular Sets and Their Relation to Rough SetsAntoni Ligeza, Marcin Szpyrka. 251-260 [doi]
• Inference and Reformation in Flow Graphs Using Granular ComputingHuawen Liu, Jigui Sun, Changsong Qi, Xi Bai. 261-270 [doi]
• On Granular Rough Computing with Missing ValuesLech Polkowski, Piotr Artiemjew. 271-279 [doi]
• On Granular Rough Computing: Factoring Classifiers Through Granulated Decision SystemsLech Polkowski, Piotr Artiemjew. 280-289 [doi]
• A Rough Set Based Map GranuleSumalee Sonamthiang, Nick Cercone, Kanlaya Naruedomkul. 290-299 [doi]
• Modeling of High Quality GranulesAndrzej Skowron, Jaroslaw Stepaniuk. 300-309 [doi]
• Attribute Core Computation Based on Divide and Conquer MethodFeng Hu, Guoyin Wang, Ying Xia. 310-319 [doi]
• Fast Discovery of Minimal Sets of Attributes Functionally Determining a Decision AttributeMarzena Kryszkiewicz, Piotr Lasek. 320-331 [doi]
• A Simple Reduction Analysis and Algorithm Using Rough SetsNing Xu, Yun Zhang, Yongquan Yu. 332-339 [doi]
• Mining Mass Spectrometry Database Search Results - A Rough Set ApproachJianwen Fang, Jerzy W. Grzymala-Busse. 340-349 [doi]
• Rough Set Approach to Spam Filter LearningMawuena Glymin, Wojciech Ziarko. 350-359 [doi]
• Web-Based Support Systems with Rough Set AnalysisJingtao Yao, Joseph P. Herbert. 360-370 [doi]
• Interpreting Low and High Order Rules: A Granular Computing ApproachYiyu Yao, Bing Zhou, Yaohua Chen. 371-380 [doi]
• Attribute Reduction Based on Fuzzy Rough SetsDegang Chen, Xizhao Wang, Suyun Zhao. 381-390 [doi]
• On Logic with Fuzzy and Rough Powerset MonadsPatrik Eklund, Maria A. Galán. 391-399 [doi]
• A Grey-Rough Set Approach for Interval Data Reduction of AttributesDaisuke Yamaguchi, Guodong Li, Masatake Nagai. 400-410 [doi]
• Minimal Templates and Knowledge DiscoveryBarbara Marszal-Paszek, Piotr Paszek. 411-416 [doi]
• Universal Attribute Reduction ProblemMikhail Ju. Moshkov, Marcin Piliszczuk, Beata Zielosko. 417-426 [doi]
• Applying Rough Set Theory to Medical DiagnosingPiotr Paszek, Alicja Wakulicz-Deja. 427-435 [doi]
• Graph-Based Knowledge Representations for Decision Support SystemsRoman Siminski. 436-444 [doi]
• Rough Sets in Oligonucleotide Microarray Data AnalysisMagdalena Alicja Tkacz. 445-453 [doi]
• From an Information System to a Decision Support SystemAlicja Wakulicz-Deja, Agnieszka Nowak. 454-464 [doi]
• Optimization for MASK Scheme in Privacy Preserving Data Mining for Association RulesPiotr Andruszkiewicz. 465-474 [doi]
• Frequent Events and Epochs in Data StreamKrzysztof Cabaj. 475-484 [doi]
• Memory Efficient Algorithm for Mining Recent Frequent Items in a StreamPiotr Kolaczkowski. 485-494 [doi]
• Outlier Detection: An Approximate Reasoning ApproachTuan Trung Nguyen. 495-504 [doi]
• Discovering Compound and Proper NounsGrzegorz Protaziuk, Marzena Kryszkiewicz, Henryk Rybinski, Alexandre Delteil. 505-515 [doi]
• Discovering Synonyms Based on Frequent TermsetsHenryk Rybinski, Marzena Kryszkiewicz, Grzegorz Protaziuk, Adam Jakubowski, Alexandre Delteil. 516-525 [doi]
• A Summary Structure of Data Cube Preserving SemanticsZhibin Shi, Houkuan Huang. 526-533 [doi]
• Mining Association Rules with Respect to Support and Anti-support-Experimental ResultsRoman Slowinski, Izabela Szczech, Miroslaw Urbanowicz, Salvatore Greco. 534-542 [doi]
• Developing Data Warehouse for Simulation ExperimentsJanusz Sosnowski, Przemyslaw Zygulski, Piotr Gawkowski. 543-552 [doi]
• Classification of Complex Structured Objects on the Base of Similarity DegreesPiotr Honko. 553-563 [doi]
• Application of Parallel Decomposition for Creation of Reduced Feed-Forward Neural NetworksJacek Lewandowski, Mariusz Rawski, Henryk Rybinski. 564-573 [doi]
• Combining Answers of Sub-classifiers in the Bagging-Feature EnsemblesJerzy Stefanowski. 574-583 [doi]
• Monotonic Behavior of Entropies and Co-entropies for Coverings with Respect to Different Quasi-orderingsDaniela Bianucci, Gianpiero Cattaneo. 584-593 [doi]
• Design and Implementation of Rough Rules Generation from Logical Rules on FPGA BoardAkinori Kanasugi, Mitsuhiro Matsumoto. 594-602 [doi]
• A Computationally Efficient Nonlinear Predictive Control Algorithm with RBF Neural Models and Its ApplicationMaciej Lawrynczuk, Piotr Tatjewski. 603-612 [doi]
• Operations on Interval MatricesBarbara Pekala. 613-621 [doi]
• The Diffie-Hellman Problem in Lie AlgebrasBeata Rafalska. 622-629 [doi]
• Software Defect Classification: A Comparative Study with Rough Hybrid ApproachesSheela Ramanna, Rajen Bhatt, Piotr Biernot. 630-638 [doi]
• Dimensionality Reduction Using Rough Set Approach for Two Neural Networks-Based ApplicationsMohammed Sammany, T. Medhat. 639-647 [doi]
• Decision Tables in Petri Net ModelsMarcin Szpyrka, Tomasz Szmuc. 648-657 [doi]
• Two Types of Generalized Variable Precision Formal ConceptsHong-Zhi Yang, Ming-Wen Shao. 658-667 [doi]
• Dynamics of Approximate Information FusionPatrick Doherty, Barbara Dunin-Keplicz, Andrzej Szalas. 668-677 [doi]
• Coevolution of a Fuzzy Rule Base for Classification ProblemsBarbara Fusinska, Marek Kisiel-Dorohinicki, Edward Nawarecki. 678-686 [doi]
• Towards Agent-Based Evolutionary Planning in Transportation SystemsJaroslaw Kozlak, Marek Kisiel-Dorohinicki, Edward Nawarecki. 687-696 [doi]
• Exploiting Rough Argumentation in an Online Dispute Resolution MediatorIoan Alfred Letia, Adrian Groza. 697-706 [doi]
• Semantic Service Discovery with QoS Measurement in Universal NetworkYing Zhang, Houkuan Huang, Youli Qu, Xiang Zhao. 707-715 [doi]
• Rough Sets in the Interpretation of Statistical Tests Outcomes for Genes Under Hypothetical Balancing SelectionKrzysztof A. Cyran. 716-725 [doi]
• Indiscernibility Relation for Continuous Attributes: Application in Image RecognitionKrzysztof A. Cyran, Urszula Stanczyk. 726-735 [doi]
• Clustering of Leaf-Labelled Trees on Free LeafsetJakub Koperwas, Krzysztof Walczak 0002. 736-745 [doi]
• Checking Brain Expertise Using Rough Set TheoryAndrzej W. Przybyszewski. 746-755 [doi]
• Analysis of a Dobutamine Stress Echocardiography Dataset Using Rough SetsKenneth Revett. 756-763 [doi]
• An Improved SVM Classifier for Medical Image ClassificationYun Jiang, Zhanhuai Li, Longbo Zhang, Peng Sun. 764-773 [doi]
• Searching for Metric Structure of Musical FilesBozena Kostek, Jaroslaw Wójcik, Piotr Szczuko. 774-783 [doi]
• Parameter-Based Categorization for Musical Instrument RetrievalRory A. Lewis, Alicja Wieczorkowska. 784-792 [doi]
• Automatic Singing Voice Recognition Employing Neural Networks and Rough SetsPawel Zwan, Piotr Szczuko, Bozena Kostek, Andrzej Czyzewski. 793-802 [doi]
• A Learning-Based Model for Semantic Mapping from Natural Language Questions to OWLMingxia Gao, Jiming Liu, Ning Zhong, Chunnian Liu, Furong Chen. 803-812 [doi]
• Filtering and Sophisticated Data Processing for Web Information GatheringYuefeng Li, Ning Zhong, Xujuan Zhou, Sheng-Tang Wu. 813-823 [doi]
• An Investigation of Human Problem Solving System: Computation as an ExampleShinichi Motomura, Akinori Hara, Ning Zhong, Shengfu Lu. 824-834 [doi]