Table of Contents

• Flow Graphs and Decision AlgorithmsZdzislaw Pawlak. 1-10 [doi]
• The Quotient Space Theory of Problem SolvingLing Zhang, Bo Zhang. 11-15 [doi]
• Granular ComputingTsau Young Lin. 16-24 [doi]
• Rough Sets: Trends and ChallengesAndrzej Skowron, James F. Peters. 25-34 [doi]
• A New Development on ANN in China - Biomimetic Pattern Recognition and Multi Weight Vector NeuronsShoujue Wang. 35-43 [doi]
• On Generalizing Rough Set TheoryY. Y. Yao. 44-51 [doi]
• Dual Mathematical Models Based on Rough Approximations in Data AnalysisHideo Tanaka. 52-59 [doi]
• Knowledge Theory: Outline and ImpactY. X. Zhong. 60-69 [doi]
• A Rough Set Paradigm for Unifying Rough Set Theory and Fuzzy Set TheoryLech Polkowski. 70-77 [doi]
• Extracting Structure of Medical Diagnosis: Rough Set ApproachShusaku Tsumoto. 78-88 [doi]
• A Kind of Linearization Method in Fuzzy Control System ModelingHongxing Li, Jiayin Wang, Zhihong Miao. 89-98 [doi]
• A Common Framework for Rough Sets, Databases, and Bayesian NetworksS. K. Michael Wong, Dan Wu. 99-103 [doi]
• Rough Sets, EM Algorithm, MST and Multispectral Image SegmentationSankar K. Pal, Pabitra Mitra. 104-105 [doi]
• Rough Mereology: A Survey of New Developments with Applications to Granular Computing, Spatial Reasoning and Computing with WordsLech Polkowski. 106-113 [doi]
• A New Rough Sets Model Based on Database SystemsXiaohua Hu, Tsau Young Lin, Jianchao Han. 114-121 [doi]
• A Rough Set and Rule Tree Based Incremental Knowledge Acquisition AlgorithmZheng Zheng, Guoyin Wang, Yu Wu. 122-129 [doi]
• Comparison of Conventional and Rough K-Means ClusteringPawan Lingras, Rui Yan, Chad West. 130-137 [doi]
• An Application of Rough Sets to Monk s Problems SolvingDuoqian Miao, Lishan Hou. 138-145 [doi]
• Pre-topologies and Dynamic SpacesPiero Pagliani. 146-155 [doi]
• Rough Sets and Gradual Decision RulesSalvatore Greco, Masahiro Inuiguchi, Roman Slowinski. 156-164 [doi]
• Explanation Oriented Association Mining Using Rough Set TheoryY. Y. Yao, Yan Zhao, R. Brien Maguire. 165-172 [doi]
• Probabilistic Rough Sets Characterized by Fuzzy SetsLi-Li Wei, Wen-Xiu Zhang. 173-180 [doi]
• A View on Rough Set Concept ApproximationsJan G. Bazan, Hung Son Nguyen, Andrzej Skowron, Marcin S. Szczuka. 181-188 [doi]
• Evaluation of Probabilistic Decision TablesWojciech Ziarko. 189-196 [doi]
• Query Answering in Rough Knowledge BasesAida Vitória, Carlos Viegas Damásio, Jan Maluszynski. 197-204 [doi]
• Upper and Lower Recursion Schemes in Abstract Approximation SpacesPeter Apostoli, Akira Kanda. 205-212 [doi]
• Adaptive Granular Control of an HVDC System: A Rough Set ApproachJames F. Peters, H. Feng, Sheela Ramanna. 213-220 [doi]
• Rough Set Approach to Domain Knowledge ApproximationTuan Trung Nguyen, Andrzej Skowron. 221-228 [doi]
• Reasoning Based on Information Changes in Information MapsAndrzej Skowron, Piotr Synak. 229-236 [doi]
• Characteristics of Accuracy and Coverage in Rule InductionShusaku Tsumoto. 237-244 [doi]
• Interpretation of Rough Neural Networks as Emergent ModelYasser Hassan, Eiichiro Tazaki. 245-249 [doi]
• Using Fuzzy Dependency-Guided Attribute Grouping in Feature SelectionRichard Jensen, Qiang Shen. 250-254 [doi]
• Conjugate Information Systems: Learning Cognitive Concepts in Rough Set TheoryMaria Semeniuk-Polkowska, Lech Polkowski. 255-258 [doi]
• A Rule Induction Method of Plant Disease Description Based on Rough SetsAiping Li, Gui-Ping Liao, Quanyuan Wu. 259-263 [doi]
• Rough Set Data Analysis Algorithms for Incomplete Information SystemsK. S. Chin, Jiye Liang, Chuangyin Dang. 264-268 [doi]
• Inconsistency Classification and Discernibility-Matrix-Based Approaches for Computing an Attribute CoreDongyi Ye, Zhaojiong Chen. 269-273 [doi]
• Multi-knowledge Extraction and ApplicationQingxiang Wu, David A. Bell. 274-278 [doi]
• Multi-rough Sets Based on Multi-contexts of AttributesRolly Intan, Masao Mukaidono. 279-282 [doi]
• Approaches to Approximation Reducts in Inconsistent Decision TablesJu-Sheng Mi, Wei-Zhi Wu, Wen-Xiu Zhang. 283-286 [doi]
• Degree of Dependency and Quality of Classification in the Extended Variable Precision Rough Sets ModelMalcolm J. Beynon. 287-290 [doi]
• Approximate Reducts of an Information SystemTien-Fang Kuo, Yasutoshi Yajima. 291-294 [doi]
• A Rough Set Methodology to Support Learner Self-Assessment in Web-Based Distance EducationHongyan Geng, R. Brien Maguire. 295-298 [doi]
• A Synthesis of Concurrent Systems: A Rough Set ApproachZbigniew Suraj, Krzysztof Pancerz. 299-302 [doi]
• Towards a Line-Crawling Robot Obstacle Classification System: A Rough Set ApproachJames F. Peters, Sheela Ramanna, Marcin S. Szczuka. 303-307 [doi]
• Order Based Genetic Algorithms for the Search of Approximate Entropy ReductsDominik Slezak, Jakub Wroblewski. 308-311 [doi]
• Variable Precision Bayesian Rough Set ModelDominik Slezak, Wojciech Ziarko. 312-315 [doi]
• Linear Independence in Contingency TableShusaku Tsumoto. 316-319 [doi]
• The Information Entropy of Rough Relational DatabasesYuefei Sui, Youming Xia, Ju Wang. 320-324 [doi]
• A T-S Type of Rough Fuzzy Control System and Its ImplementationJinjie Huang, Shiyong Li, Chuntao Man. 325-328 [doi]
• Rough Mereology in Knowledge RepresentationCungen Cao, Yuefei Sui, Zaiyue Zhang. 329-333 [doi]
• Rough Set Methods for Constructing Support Vector MachinesYuancheng Li, Tingjian Fang. 334-338 [doi]
• The Lattice Property of Fuzzy Rough SetsFenglan Xiong, Xiangqian Ding, Yuhai Liu. 339-341 [doi]
• Querying Data from RRDB Based on Rough Sets TheoryQiusheng An, Guoyin Wang, Junyi Shen, Jiucheng Xu. 342-345 [doi]
• An Inference Approach Based on Rough SetsFuyan Liu, Shaoyi Lu. 346-349 [doi]
• Classification Using the Variable Precision Rough SetYongqiang Zhao, Hongcai Zhang, Quan Pan. 350-353 [doi]
• An Illustration of the Effect of Continuous Valued Discretisation in Data Analysis Using VPRS::beta::Malcolm J. Beynon. 354-357 [doi]
• Application of Fuzzy Control Base on Changeable Universe to Superheated Steam Temperature Control SystemKeming Xie, Fang Wang, Gang Xie, Tsau Young Lin. 358-362 [doi]
• Application of Fuzzy Support Vector Machines in Short-Term Load ForecastingYuancheng Li, Tingjian Fang. 363-367 [doi]
• A Symbolic Approximate ReasoningMazen El-Sayed, Daniel Pacholczyk. 368-373 [doi]
• Intuition in Soft Decision AnalysisKankana Chakrabarty. 374-377 [doi]
• Ammunition Supply Decision-Making System Design Based on Fuzzy ControlDeyong Zhao, Xinfeng Wang, Jianguo Liu. 378-381 [doi]
• The Concept of Approximation Based on Fuzzy Dominance Relation in Decision-MakingYunxiang Liu, Jigui Sun, Sheng-sheng Wang. 382-385 [doi]
• An Image Enhancement Arithmetic Research Based on Fuzzy Set and HistogramLiang Ming, Guihai Xie, Yinlong Wang. 386-389 [doi]
• A Study on a Generalized FCMJian Yu, Miin-Shen Yang. 390-393 [doi]
• Fuzzy Multiple Synapses Neural Network and Fuzzy ClusteringKai Li, Houkuan Huang, Jian Yu. 394-397 [doi]
• On Possibilistic Variance of Fuzzy NumbersWei-Guo Zhang, Zan Kan Nie. 398-402 [doi]
• Deductive Data MiningTsau Young Lin. 403-404 [doi]
• Information Granules for Intelligent Knowledge StructuresPatrick Doherty, Witold Lukaszewicz, Andrzej Szalas. 405-412 [doi]
• Design and Implement for Diagnosis Systems of Hemorheology on Blood Viscosity Syndrome Based on GrCQing Liu, Feng Jiang, Dayong Deng. 413-420 [doi]
• Granular Reasoning Using Zooming In & OutTetsuya Murai, Germano Resconi, Michinori Nakata, Yoshiharu Sato. 421-424 [doi]
• A Pure Mereological Approach to RoughnessBo Chen, Mingtian Zhou. 425-429 [doi]
• Knowledge Based Descriptive Neural NetworksJ. T. Yao. 430-436 [doi]
• Genetically Optimized Rule-Based Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence TechnologiesSung-Kwun Oh, James F. Peters, Witold Pedrycz, Tae-Chon Ahn. 437-444 [doi]
• Ant Colony Optimization for Navigating Complex LabyrinthsZhong Yan, Chun-Wie Yuan. 445-448 [doi]
• An Improved Quantum Genetic Algorithm and Its ApplicationGexiang Zhang, Weidong Jin, Na Li. 449-452 [doi]
• Intelligent Generation of Candidate Sets for Genetic Algorithms in Very Large Search SpacesJulia R. Dunphy, Jose J. Salcedo, Keri S. Murphy. 453-457 [doi]
• Fast Retraining of Artificial Neural NetworksDumitru-Iulian Nastac, Razvan Matei. 458-461 [doi]
• Fuzzy-ARTMAP and Higher-Order Statistics Based Blind EqualizationDong-kun Jee, Jung-sik Lee, Ju-Hong Lee. 462-465 [doi]
• Comparison of BPL and RBF Network in Intrusion Detection SystemChunlin Zhang, Ju Jiang, Mohamed Kamel. 466-470 [doi]
• Back Propagation with Randomized Cost Function for Training Neural NetworksHaroon A. Babri, Yan Qiu Chen, Kamran Ahsan. 471-475 [doi]
• Selective Ensemble of Decision TreesZhi-Hua Zhou, Wei Tang. 476-483 [doi]
• A Maximal Frequent Itemset AlgorithmHui Wang, Qinghua Li, Chuanxiang Ma, Kenli Li. 484-490 [doi]
• On Data Mining for Direct MarketingChuangxin Ou, Chunnian Liu, Jiajing Huang, Ning Zhong. 491-498 [doi]
• A New Incremental Maintenance Algorithm of Data CubeHongsong Li, Houkuan Huang, Youfang Lin. 499-506 [doi]
• Data Mining for Motifs in DNA SequencesDavid A. Bell, J. W. Guan. 507-514 [doi]
• Maximum Item First Pattern Growth for Mining Frequent PatternsHongjian Fan, Ming Fan, Bingzheng Wang. 515-523 [doi]
• Extended Random Sets for Knowledge Discovery in Information SystemsYuefeng Li. 524-532 [doi]
• Research on a Union Algorithm of Multiple Concept LatticesZongtian Liu, Liansheng Li, Qing Zhang. 533-540 [doi]
• A Theoretical Framework for Knowledge Discovery in Databases Based on Probabilistic LogicYing Xie, Vijay V. Raghavan. 541-548 [doi]
• An Improved Branch & Bound Algorithm in Feature SelectionZhenxiao Wang, Jie Yang, Guo-Zheng Li. 549-556 [doi]
• Classification of Caenorhabditis Elegans Behavioural Phenotypes Using an Improved Binarization MethodWon Nah, Joong-Hwan Baek. 557-564 [doi]
• Consensus versus Conflicts - Methodology and ApplicationsNgoc Thanh Nguyen, Janusz Sobecki. 565-572 [doi]
• Interpolation Techniques for Geo-spatial Association Rule MiningDan Li, Jitender S. Deogun, Sherri K. Harms. 573-580 [doi]
• Imprecise Causality in Mined RulesLawrence J. Mazlack. 581-588 [doi]
• Sphere-Structured Support Vector Machines for Multi-class Pattern RecognitionMeilin Zhu, Yue Wang, Shifu Chen, Xiangdong Liu. 589-593 [doi]
• HIPRICE-A Hybrid Model for Multi-agent Intelligent RecommendationZhengYu Gong, Jing Shi, HangPing Qiu. 594-597 [doi]
• A Database-Based Job Management SystemJi-chuan Zheng, Zheng-guo Hu, Liang-liang Xing. 598-602 [doi]
• Optimal Choice of Parameters for a Density-Based Clustering AlgorithmWenyan Gan, Deyi Li. 603-606 [doi]
• An Improved Parameter Tuning Method for Support Vector MachinesYong Quan, Jie Yang. 607-610 [doi]
• Approximate Algorithm for Minimization of Decision Tree DepthMikhail Moshkov. 611-614 [doi]
• Virtual Reality Representation of Information Systems and Decision Rules: An Exploratory Technique for Understanding Data and Knowledge StructureJulio J. Valdés. 615-618 [doi]
• Hierarchical Clustering Algorithm Based on Neighborhood-Linked in Large Spatial DatabasesYi-hong Dong. 619-622 [doi]
• Unsupervised Learning of Pattern Templates from Unannotated Corpora for Proper Noun ExtractionSeung-Shik Kang, Chong-Woo Woo. 623-626 [doi]
• Approximate Aggregate Queries with Guaranteed Error BoundsSeok-Ju Chun, Ju-Hong Lee, Seok-Lyong Lee. 627-630 [doi]
• Improving Classification Performance by Combining Multiple ::::TAN::::ClassifiersHongbo Shi, Zhihai Wang, Houkuan Huang. 631-634 [doi]
• Image Recognition Using Adaptive Fuzzy Neural Network and Wavelet TransformHuanglin Zeng, Yao Yi. 635-639 [doi]
• SOM Based Image SegmentationYuan Jiang, Ke-Jia Chen, Zhi-Hua Zhou. 640-643 [doi]
• User s Interests Navigation Model Based on Hidden Markov ModelJing Shi, Fang Shi, HangPing Qiu. 644-647 [doi]
• Successive Overrelaxation for Support Vector RegressionYong Quan, Jie Yang, Chenzhou Ye. 648-651 [doi]
• Statistic Learning and Intrusion DetectionXian Rao, Cun-xi Dong, Shao-quan Yang. 652-659 [doi]
• A New Association Rules Mining Algorithms Based on Directed Itemsets GraphLei Wen, Minqiang Li. 660-663 [doi]
• A Distributed Multidimensional Data Model of Data WarehouseYoufang Lin, Houkuan Huang, Hongsong Li. 664-667 [doi]
• An Overview of Hybrid Possibilistic ReasoningChurn-Jung Liau. 668-675 [doi]
• Critical Remarks on the Computational Complexity in Probabilistic InferenceS. K. Michael Wong, Dan Wu, Yiyu Yao. 676-681 [doi]
• Critical Remarks on the Maximal Prime Decomposition of Bayesian NetworksCory J. Butz, Qiang Hu, Xue Dong Yang. 682-685 [doi]
• A Non-local Coarsening Result in Granular Probabilistic NetworksCory J. Butz, Hong Yao, Howard J. Hamilton. 686-689 [doi]
• Probabilistic Inference on Three-Valued LogicGuilin Qi. 690-693 [doi]
• Multi-dimensional Observer-Centred Qualitative Spatial-Temporal ReasoningYi-nan Lu, Sheng-sheng Wang, Sheng-xian Sha. 694-696 [doi]
• Architecture Specification for Design of Agent-Based System in Domain ViewSeongkee Lee, Taiyun Kim. 697-700 [doi]
• Adapting Granular Rough Theory to Multi-agent ContextBo Chen, Mingtian Zhou. 701-705 [doi]
• How to Choose the Optimal Policy in Multi-agent Belief Revision?Yang Gao, Zhaochun Sun, Ning Li. 706-710 [doi]
• Research of Atomic and Anonymous Electronic Commerce ProtocolJie Tang, Juan-Zi Li, Kehong Wang, Yue-Ru Cai. 711-714 [doi]
• Colored Petri Net Based Attack ModelingShijie Zhou, Zhiguang Qin, Feng Zhang, Xianfeng Zhang, Wei Chen, Jinde Liu. 715-718 [doi]
• Intelligent Real-Time Traffic Signal Control Based on a Paraconsistent Logic Program EVALPSNKazumi Nakamatsu, Toshiaki Seno, Jair Minoro Abe, Atsuyuki Suzuki. 719-723 [doi]
• Transporting CAN Messages over WATMIsmail Erturk. 724-729 [doi]
• A Hybrid Intrusion Detection Strategy Used for Web SecurityBo Yang, Han Li, Yi Li, Shaojun Yang. 730-733 [doi]
• Mining Sequence Pattern from Time Series Based on Inter-relevant Successive Trees ModelHaiquan Zeng, Zhan Shen, Yunfa Hu. 734-737 [doi]