9. RSFDGrC 2003: Chongqing, China

Keynote Papers

• Zdzislaw Pawlak:
  Flow Graphs and Decision Algorithms. 1-10
  
• Ling Zhang, Bo Zhang:
  The Quotient Space Theory of Problem Solving. 11-15
  

Plenary Papers

• Tsau Young Lin:
  Granular Computing. 16-24
  
• Andrzej Skowron, James F. Peters:
  Rough Sets: Trends and Challenges. 25-34
  
• Shoujue Wang:
  A New Development on ANN in China - Biomimetic Pattern Recognition and Multi Weight Vector Neurons. 35-43
  
• Y. Y. Yao:
  On Generalizing Rough Set Theory. 44-51
  
• Hideo Tanaka:
  Dual Mathematical Models Based on Rough Approximations in Data Analysis. 52-59
  
• Yi X. Zhong:
  Knowledge Theory: Outline and Impact. 60-69
  
• Lech Polkowski:
  A Rough Set Paradigm for Unifying Rough Set Theory and Fuzzy Set Theory. 70-77
  
• Shusaku Tsumoto:
  Extracting Structure of Medical Diagnosis: Rough Set Approach. 78-88
  
• Hongxing Li, Jiayin Wang, Zhihong Miao:
  A Kind of Linearization Method in Fuzzy Control System Modeling. 89-98
  
• S. K. Michael Wong, Dan Wu:
  A Common Framework for Rough Sets, Databases, and Bayesian Networks. 99-103
  
• Sankar K. Pal, Pabitra Mitra:
  Rough Sets, EM Algorithm, MST and Multispectral Image Segmentation. 104-105
  

Rough Sets Foundations and Methods

• Lech Polkowski:
  Rough Mereology: A Survey of New Developments with Applications to Granular Computing, Spatial Reasoning and Computing with Words. 106-113
  
• Xiaohua Hu, Tsau Young Lin, Jianchao Han:
  A New Rough Sets Model Based on Database Systems. 114-121
  
• Zheng Zheng, Guoyin Wang, Yu Wu:
  A Rough Set and Rule Tree Based Incremental Knowledge Acquisition Algorithm. 122-129
  
• Pawan Lingras, Rui Yan, Chad West:
  Comparison of Conventional and Rough K-Means Clustering. 130-137
  
• Duoqian Miao, Lishan Hou:
  An Application of Rough Sets to Monk's Problems Solving. 138-145
  
• Piero Pagliani:
  Pre-topologies and Dynamic Spaces. 146-155
  
• Salvatore Greco, Masahiro Inuiguchi, Roman Slowinski:
  Rough Sets and Gradual Decision Rules. 156-164
  
• Y. Y. Yao, Yan Zhao, R. Brien Maguire:
  Explanation Oriented Association Mining Using Rough Set Theory. 165-172
  
• Li-Li Wei, Wen-Xiu Zhang:
  Probabilistic Rough Sets Characterized by Fuzzy Sets. 173-180
  
• Jan G. Bazan, Hung Son Nguyen, Andrzej Skowron, Marcin S. Szczuka:
  A View on Rough Set Concept Approximations. 181-188
  
• Wojciech Ziarko:
  Evaluation of Probabilistic Decision Tables. 189-196
  
• Aida Vitória, Carlos Viegas Damásio, Jan Maluszynski:
  Query Answering in Rough Knowledge Bases. 197-204
  
• Peter Apostoli, Akira Kanda:
  Upper and Lower Recursion Schemes in Abstract Approximation Spaces. 205-212
  
• James F. Peters, H. Feng, Sheela Ramanna:
  Adaptive Granular Control of an HVDC System: A Rough Set Approach. 213-220
  
• Tuan Trung Nguyen, Andrzej Skowron:
  Rough Set Approach to Domain Knowledge Approximation. 221-228
  
• Andrzej Skowron, Piotr Synak:
  Reasoning Based on Information Changes in Information Maps. 229-236
  
• Shusaku Tsumoto:
  Characteristics of Accuracy and Coverage in Rule Induction. 237-244
  
• Yasser Hassan, Eiichiro Tazaki:
  Interpretation of Rough Neural Networks as Emergent Model. 245-249
  
• Richard Jensen, Qiang Shen:
  Using Fuzzy Dependency-Guided Attribute Grouping in Feature Selection. 250-254
  
• Maria Semeniuk-Polkowska, Lech Polkowski:
  Conjugate Information Systems: Learning Cognitive Concepts in Rough Set Theory. 255-258
  
• Aiping Li, Gui-Ping Liao, Quanyuan Wu:
  A Rule Induction Method of Plant Disease Description Based on Rough Sets. 259-263
  
• K. S. Chin, Jiye Liang, Chuangyin Dang:
  Rough Set Data Analysis Algorithms for Incomplete Information Systems. 264-268
  
• Dongyi Ye, Zhaojiong Chen:
  Inconsistency Classification and Discernibility-Matrix-Based Approaches for Computing an Attribute Core. 269-273
  
• Qingxiang Wu, David A. Bell:
  Multi-knowledge Extraction and Application. 274-278
  
• Rolly Intan, Masao Mukaidono:
  Multi-rough Sets Based on Multi-contexts of Attributes. 279-282
  
• Ju-Sheng Mi, Wei-Zhi Wu, Wen-Xiu Zhang:
  Approaches to Approximation Reducts in Inconsistent Decision Tables. 283-286
  
• Malcolm J. Beynon:
  Degree of Dependency and Quality of Classification in the Extended Variable Precision Rough Sets Model. 287-290
  
• Tien-Fang Kuo, Yasutoshi Yajima:
  Approximate Reducts of an Information System. 291-294
  
• Hongyan Geng, R. Brien Maguire:
  A Rough Set Methodology to Support Learner Self-Assessment in Web-Based Distance Education. 295-298
  
• Zbigniew Suraj, Krzysztof Pancerz:
  A Synthesis of Concurrent Systems: A Rough Set Approach. 299-302
  
• James F. Peters, Sheela Ramanna, Marcin S. Szczuka:
  Towards a Line-Crawling Robot Obstacle Classification System: A Rough Set Approach. 303-307
  
• Dominik Slezak, Jakub Wroblewski:
  Order Based Genetic Algorithms for the Search of Approximate Entropy Reducts. 308-311
  
• Dominik Slezak, Wojciech Ziarko:
  Variable Precision Bayesian Rough Set Model. 312-315
  
• Shusaku Tsumoto:
  Linear Independence in Contingency Table. 316-319
  
• Yuefei Sui, Youming Xia, Ju Wang:
  The Information Entropy of Rough Relational Databases. 320-324
  
• Jinjie Huang, Shiyong Li, Chuntao Man:
  A T-S Type of Rough Fuzzy Control System and Its Implementation. 325-328
  
• Cungen Cao, Yuefei Sui, Zaiyue Zhang:
  Rough Mereology in Knowledge Representation. 329-333
  
• Yuancheng Li, Tingjian Fang:
  Rough Set Methods for Constructing Support Vector Machines. 334-338
  
• Fenglan Xiong, Xiangqian Ding, Yuhai Liu:
  The Lattice Property of Fuzzy Rough Sets. 339-341
  
• Qiusheng An, Guoyin Wang, Junyi Shen, Jiucheng Xu:
  Querying Data from RRDB Based on Rough Sets Theory. 342-345
  
• Fuyan Liu, Shaoyi Lu:
  An Inference Approach Based on Rough Sets. 346-349
  
• Yongqiang Zhao, Hongcai Zhang, Quan Pan:
  Classification Using the Variable Precision Rough Set. 350-353
  
• Malcolm J. Beynon:
  An Illustration of the Effect of Continuous Valued Discretisation in Data Analysis Using VPRS_beta. 354-357
  

Fuzzy Sets and Systems

• Keming Xie, Fang Wang, Gang Xie, Tsau Young Lin:
  Application of Fuzzy Control Base on Changeable Universe to Superheated Steam Temperature Control System. 358-362
  
• Yuancheng Li, Tingjian Fang:
  Application of Fuzzy Support Vector Machines in Short-Term Load Forecasting. 363-367
  
• Mazen El-Sayed, Daniel Pacholczyk:
  A Symbolic Approximate Reasoning. 368-373
  
• Kankana Chakrabarty:
  Intuition in Soft Decision Analysis. 374-377
  
• Deyong Zhao, Xinfeng Wang, Jianguo Liu:
  Ammunition Supply Decision-Making System Design Based on Fuzzy Control. 378-381
  
• Yunxiang Liu, Jigui Sun, Sheng-sheng Wang:
  The Concept of Approximation Based on Fuzzy Dominance Relation in Decision-Making. 382-385
  
• Liang Ming, Guihai Xie, Yinlong Wang:
  An Image Enhancement Arithmetic Research Based on Fuzzy Set and Histogram. 386-389
  
• Jian Yu, Miin-Shen Yang:
  A Study on a Generalized FCM. 390-393
  
• Kai Li, Houkuan Huang, Jian Yu:
  Fuzzy Multiple Synapses Neural Network and Fuzzy Clustering. 394-397
  
• Wei-Guo Zhang, Zan Kan Nie:
  On Possibilistic Variance of Fuzzy Numbers. 398-402
  

Granular Computing

• Tsau Young Lin:
  Deductive Data Mining. 403-404
  
• Patrick Doherty, Witold Lukaszewicz, Andrzej Szalas:
  Information Granules for Intelligent Knowledge Structures. 405-412
  
• Qing Liu, Feng Jiang, Dayong Deng:
  Design and Implement for Diagnosis Systems of Hemorheology on Blood Viscosity Syndrome Based on GrC. 413-420
  
• Tetsuya Murai, Germano Resconi, Michinori Nakata, Yoshiharu Sato:
  Granular Reasoning Using Zooming In & Out. 421-424
  
• Bo Chen, Mingtian Zhou:
  A Pure Mereological Approach to Roughness. 425-429
  

Neural Networks and Evolutionary Computing

• J. T. Yao:
  Knowledge Based Descriptive Neural Networks. 430-436
  
• Sung-Kwun Oh, James F. Peters, Witold Pedrycz, Tae-Chon Ahn:
  Genetically Optimized Rule-Based Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies. 437-444
  
• Zhong Yan, Chun-Wie Yuan:
  Ant Colony Optimization for Navigating Complex Labyrinths. 445-448
  
• Gexiang Zhang, Weidong Jin, Na Li:
  An Improved Quantum Genetic Algorithm and Its Application. 449-452
  
• Julia R. Dunphy, Jose J. Salcedo, Keri S. Murphy:
  Intelligent Generation of Candidate Sets for Genetic Algorithms in Very Large Search Spaces. 453-457
  
• Dumitru-Iulian Nastac, Razvan Matei:
  Fast Retraining of Artificial Neural Networks. 458-461
  
• Dong-kun Jee, Jung-sik Lee, Ju-Hong Lee:
  Fuzzy-ARTMAP and Higher-Order Statistics Based Blind Equalization. 462-465
  
• Chunlin Zhang, Ju Jiang, Mohamed Kamel:
  Comparison of BPL and RBF Network in Intrusion Detection System. 466-470
  
• Haroon A. Babri, Yan Qiu Chen, Kamran Ahsan:
  Back Propagation with Randomized Cost Function for Training Neural Networks. 471-475
  

Data Mining, Machine Learning, and Pattern Recognition

• Zhi-Hua Zhou, Wei Tang:
  Selective Ensemble of Decision Trees. 476-483
  
• Hui Wang, Qinghua Li, Chuanxiang Ma, Kenli Li:
  A Maximal Frequent Itemset Algorithm. 484-490
  
• Chuangxin Ou, Chunnian Liu, Jiajing Huang, Ning Zhong:
  On Data Mining for Direct Marketing. 491-498
  
• Hongsong Li, Houkuan Huang, Youfang Lin:
  A New Incremental Maintenance Algorithm of Data Cube. 499-506
  
• David A. Bell, J. W. Guan:
  Data Mining for Motifs in DNA Sequences. 507-514
  
• Hongjian Fan, Ming Fan, Bingzheng Wang:
  Maximum Item First Pattern Growth for Mining Frequent Patterns. 515-523
  
• Yuefeng Li:
  Extended Random Sets for Knowledge Discovery in Information Systems. 524-532
  
• Zongtian Liu, Liansheng Li, Qing Zhang:
  Research on a Union Algorithm of Multiple Concept Lattices. 533-540
  
• Ying Xie, Vijay V. Raghavan:
  A Theoretical Framework for Knowledge Discovery in Databases Based on Probabilistic Logic. 541-548
  
• Zhenxiao Wang, Jie Yang, Guo-Zheng Li:
  An Improved Branch & Bound Algorithm in Feature Selection. 549-556
  
• Won Nah, Joong-Hwan Baek:
  Classification of Caenorhabditis Elegans Behavioural Phenotypes Using an Improved Binarization Method. 557-564
  
• Ngoc Thanh Nguyen, Janusz Sobecki:
  Consensus versus Conflicts - Methodology and Applications. 565-572
  
• Dan Li, Jitender S. Deogun, Sherri K. Harms:
  Interpolation Techniques for Geo-spatial Association Rule Mining. 573-580
  
• Lawrence J. Mazlack:
  Imprecise Causality in Mined Rules. 581-588
  
• Meilin Zhu, Yue Wang, Shifu Chen, Xiangdong Liu:
  Sphere-Structured Support Vector Machines for Multi-class Pattern Recognition. 589-593
  
• ZhengYu Gong, Jing Shi, HangPing Qiu:
  HIPRICE-A Hybrid Model for Multi-agent Intelligent Recommendation. 594-597
  
• Ji-chuan Zheng, Zheng-guo Hu, Liang-liang Xing:
  A Database-Based Job Management System. 598-602
  
• Wenyan Gan, Deyi Li:
  Optimal Choice of Parameters for a Density-Based Clustering Algorithm. 603-606
  
• Yong Quan, Jie Yang:
  An Improved Parameter Tuning Method for Support Vector Machines. 607-610
  
• Mikhail Moshkov:
  Approximate Algorithm for Minimization of Decision Tree Depth. 611-614
  
• Julio J. Valdés:
  Virtual Reality Representation of Information Systems and Decision Rules: An Exploratory Technique for Understanding Data and Knowledge Structure. 615-618
  
• Yi-hong Dong:
  Hierarchical Clustering Algorithm Based on Neighborhood-Linked in Large Spatial Databases. 619-622
  
• Seung-Shik Kang, Chong-Woo Woo:
  Unsupervised Learning of Pattern Templates from Unannotated Corpora for Proper Noun Extraction. 623-626
  
• Seok-Ju Chun, Ju-Hong Lee, Seok-Lyong Lee:
  Approximate Aggregate Queries with Guaranteed Error Bounds. 627-630
  
• Hongbo Shi, Zhihai Wang, Houkuan Huang:
  Improving Classification Performance by Combining Multiple TANClassifiers. 631-634
  
• Huanglin Zeng, Yao Yi:
  Image Recognition Using Adaptive Fuzzy Neural Network and Wavelet Transform. 635-639
  
• Yuan Jiang, Ke-Jia Chen, Zhi-Hua Zhou:
  SOM Based Image Segmentation. 640-643
  
• Jing Shi, Fang Shi, HangPing Qiu:
  User's Interests Navigation Model Based on Hidden Markov Model. 644-647
  
• Yong Quan, Jie Yang, Chenzhou Ye:
  Successive Overrelaxation for Support Vector Regression. 648-651
  
• Xian Rao, Cun-xi Dong, Shao-quan Yang:
  Statistic Learning and Intrusion Detection. 652-659
  
• Lei Wen, Minqiang Li:
  A New Association Rules Mining Algorithms Based on Directed Itemsets Graph. 660-663
  
• Youfang Lin, Houkuan Huang, Hongsong Li:
  A Distributed Multidimensional Data Model of Data Warehouse. 664-667
  

Logics and Reasoning

• Churn-Jung Liau:
  An Overview of Hybrid Possibilistic Reasoning. 668-675
  
• S. K. Michael Wong, Dan Wu, Yiyu Yao:
  Critical Remarks on the Computational Complexity in Probabilistic Inference. 676-681
  
• Cory J. Butz, Qiang Hu, Xue Dong Yang:
  Critical Remarks on the Maximal Prime Decomposition of Bayesian Networks. 682-685
  
• Cory J. Butz, Hong Yao, Howard J. Hamilton:
  A Non-local Coarsening Result in Granular Probabilistic Networks. 686-689
  
• Guilin Qi:
  Probabilistic Inference on Three-Valued Logic. 690-693
  
• Yi-nan Lu, Sheng-sheng Wang, Sheng-xian Sha:
  Multi-dimensional Observer-Centred Qualitative Spatial-Temporal Reasoning. 694-696
  

Multi-agent Systems

• Seongkee Lee, Taiyun Kim:
  Architecture Specification for Design of Agent-Based System in Domain View. 697-700
  
• Bo Chen, Mingtian Zhou:
  Adapting Granular Rough Theory to Multi-agent Context. 701-705
  
• Yang Gao, Zhaochun Sun, Ning Li:
  How to Choose the Optimal Policy in Multi-agent Belief Revision? 706-710
  

Web Intelligence and Intelligent Systems

• Jie Tang, Juan-Zi Li, Kehong Wang, Yue-Ru Cai:
  Research of Atomic and Anonymous Electronic Commerce Protocol. 711-714
  
• Shijie Zhou, Zhiguang Qin, Feng Zhang, Xianfeng Zhang, Wei Chen, Jinde Liu:
  Colored Petri Net Based Attack Modeling. 715-718
  
• Kazumi Nakamatsu, Toshiaki Seno, Jair Minoro Abe, Atsuyuki Suzuki:
  Intelligent Real-Time Traffic Signal Control Based on a Paraconsistent Logic Program EVALPSN. 719-723
  
• Ismail Erturk:
  Transporting CAN Messages over WATM. 724-729
  
• Bo Yang, Han Li, Yi Li, Shaojun Yang:
  A Hybrid Intrusion Detection Strategy Used for Web Security. 730-733
  
• Haiquan Zeng, Zhan Shen, Yunfa Hu:
  Mining Sequence Pattern from Time Series Based on Inter-relevant Successive Trees Model. 734-737
  

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