GrC 2005: Beijing, China

Volume 1

Keynotes

• Janusz Kacprzyk:
  Optimal policies in multistage fuzzy control information granulation and interpolative reasoning. 1-6
  
• Setsuo Ohsuga:
  Difference between data mining and knowledge discovery - a view to discovery from knowledge-processing. 7-12
  
• Yi Pan:
  Protein structure prediction and understanding using machine learning methods. 13
  
• Ming-Chien Shan:
  Intelligent business operation management. 14-15
  
• Lotfi A. Zadeh:
  Toward a generalized theory of uncertainty (GTU) - an outline. 16
  
• Y. X. Zhong:
  Mechanism approach to a unified theory of artificial intelligence. 17-21
  

Invited Papers

• Xiaohua Hu, Guangrong Li, Illhoi Yoo, Xiaodan Zhang, Xuheng Xu:
  A semantic-based approach for mining undiscovered public knowledge from biomedical literature. 22-27
  
• Chongfu Huang, Ye Xue:
  Some concepts and methods of information granule diffusion. 28-33
  
• Masahiro Inuiguchi:
  Structure-based approaches to attribute reduction in variable precision rough set models. 34-39
  
• Tsau Young Lin:
  Granular computing: examples, intuitions and modeling. 40-44
  
• Masoud Nikravesh:
  Neuroscience and precisiated natural language-based search and question answering system: NeuSearch. 45-50
  
• Yukio Ohsawa:
  Data crystallization: a project beyond chance discovery for discovering unobservable events. 51-56
  
• Lech Polkowski:
  Formal granular calculi based on rough inclusions. 57-69
  
• Shusaku Tsumoto, Shoji Hirano:
  Degree of Dependence as Granularity in a Contingency Table. 63-69
  
• Lei Xu:
  A5 problem solving paradigm: a unified perspective and new results on RHT computing, mixture based learning, and evidence combination. 70-77
  
• Ronald R. Yager:
  Reasoning with belief structures: non monotonic compatibility relations. 78-84
  
• Y. Yao:
  Perspectives of granular computing. 85-90
  
• Mingsheng Ying:
  A theory of computation based on quantum logic (I). 91
  
• Masanori Yoshinaga, Yukihiro Nakamura, Einoshin Suzuki:
  Mini-Car-Soccer as a testbed for granular computing. 92-97
  
• Ling Zhang, Bo Zhang:
  Quotient space based multi-granular computing. 98
  
• Yan-Qing Zhang:
  Computational Web intelligence and granular Web intelligence for Web uncertainty. 99-101
  

Research Papers

• Jiu-Jiang An, Guoyin Wang, Yu Wu, Quan Gan:
  A rule generation algorithm based on granular computing. 102-107
  
• Qiusheng An, Yusheng Zhang, WenXiu Zhang:
  The study of rough relational database based on granular computing. 108-111
  
• Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
  Analyzing time-series data by fuzzy data-mining technique. 112-117
  
• Jingnian Chen, Houkuan Huang, Shujun Fu, Xiangjun Li:
  A method of valuable rule discovering. 118-120
  
• Wan L. Chen, Jia X. Cheng:
  Generalizing quotient space theory from structural viewpoint. 121-124
  
• Xiaoqing Chen, Taorong Qiu, Qing Liu, Houkuan Huang:
  Studying of granularity on group. 125-127
  
• Xingchun Chen, Ron Roeber:
  Monitoring soybean disease and insect infection patterns in Nebraska. 128-130
  
• Xiujuan Chen, Robert W. Harrison, Yanqing Zhang:
  Fuzzy support vector machines for biomedical data analysis. 131-134
  
• Been-Chian Chien, Cheng-Feng Lu, Steen J. Hsu:
  Handling incomplete quantitative data for supervised learning based on fuzzy entropy. 135-140
  
• Dong Min, Li Xiangpeng, Wang Li:
  Image segmentation based on rough membership function. 141-144
  
• Du Wei-feng, Li Hai-ming, Gao Yan, Meng Dan:
  Another kind of fuzzy rough sets. 145-148
  
• Hongbin Fang, Ling Zhang:
  Semi-order structure fusion model of quotient spaces under the condition of inconsistency information. 149-152
  
• Jianchao Han:
  Feature selection based on rough set and information entropy. 153-158
  
• James Kuodo Huang:
  Self-reproducing learning, data mining and intelligent predictive systems. 159-162
  
• Bo Jin, Yan-Qing Zhang, Xiaohua Tony Hu:
  Support vector machines with evolutionary interval neural networks for granular feature transformation in making effective biomedical data classification. 163-166
  
• A. M. Kozae, H. M. Abu-Donia:
  Granular computing biapproximation spaces. 167-171
  
• Jun Li, Natasha Barrett, Yan-Qing Zhang, David A. Washburn:
  Genetic granular cognitive fuzzy neural networks and human brains for pattern recognition. 172-175
  
• Tong-Jun Li, Wen-Xiu Zhang, Jianmin Ma:
  Rough sets on atomic Boolean lattices. 176-179
  
• Xiangjun Li, Shengfeng Tian, Dayong Deng, Jingnian Chen:
  A method of multi-agent system conflict analysis based on rough set theory. 180-184
  
• Liang Xinyuan, Shi Qingxi, Zhang Qin:
  Correspondence between causality diagram and neural networks. 185-188
  
• Tsau Young Lin, I-Jen Chiang:
  Semantic based clustering of Web documents. 189-192
  
• Pawan Lingras, Cory J. Butz:
  Interval set representations of 1-v-r support vector machine multi-classifiers. 193-198
  
• Jun Liu, Yang Xu, Da Ruan, Luis Martínez:
  A lattice-valued linguistic-based decision making method. 199-202
  
• Qing Liu, T. R. Qiu, X. Q. Chen:
  Spatio-temporal granular logic and its applications to dynamic information systems. 203-208
  
• Guang-ying Ma, Ping Li, Yu Wen, Xue-yan Du:
  Application of genetic algorithm in estimating origin-destination matrices of traffic network. 209-212
  
• Ju-Sheng Mi, Zeng-Xiao Guo, Tao Feng, Hui-Yin Zhao:
  Uncertainty in generalized fuzzy rough sets. 213-216
  
• Duoqian Miao, Daoguo Li, Shidong Fan:
  Fuzzy rough set and its improvement. 217-220
  
• Qingxi Shi, Xinyuan Liang, Qin Zhang:
  Causality diagram using normal fuzzy numbers. 221-224
  
• Taorong Qiu, Xiaoqing Chen, Qing Liu, Houkuan Huang:
  An algorithm of association rules extracting based on granular computing and its application. 225-228
  
• Yu Qiu, Yan-Qing Zhang, Yichuan Zhao:
  Statistical interval-valued fuzzy systems via linear regression. 229-232
  
• Ying Sai, Peiyao Nie, Dongsheng Chu:
  A model of granular computing based on rough set theory. 233-236
  
• Mehmet Sayal, Ming-Chien Shan:
  Analysis of numeric data streams at different granularities. 237-242
  
• Jerry Z. Shan, Hsiu-Khuern Tang, Ren Wu, Fereydoon Safai:
  Dynamic modeling and forecasting on enterprise revenue with derived granularities. 243-248
  
• Xiajiong Shen, Zongtian Liu, Qing Zhang, Yun Li, Baisheng Shi:
  Isomorphic generating of concept lattices. 249-252
  
• K. Shi, Shih-Huang Fei, C. Lin:
  Approximations and adaptability of neural networks. 253-255
  
• Mohammad Erfanul Hoque Siddiqi, M. Emdadul Haque, M. Shahin, M. Belal Hossan:
  Spanning trees with restricted degrees for series-parallel graph. 256-258
  
• Qiang Tang, Xiangpeng Li, Jie Liu:
  Method of scores analysis based on rough set theory. 259-261
  
• Yuchun Tang, Yan-Qing Zhang:
  Granular support vector machines with data cleaning for fast and accurate biomedical binary classification. 262-265
  
• Ji-Guang Wan, Xiao-Ming Dong, Ling Zhan:
  Research and design of a self-managing storage cluster. 266-269
  
• Fei Wang, Fan-Zhang Li:
  The design of an autonomic computing model and the algorithm for decision-making. 270-273
  
• Haibin Wang, Yan-Qing Zhang, Rajshekhar Sunderraman:
  Truth-value based interval neutrosophic sets. 274-277
  
• Da-kuan Wei, Xianzhong Zhou:
  Rough set model in incomplete and fuzzy decision information system based on improved-tolerance relation. 278-283
  
• JiaJu Wu, Gang Liu, Peng Liu, ChuanYu Xi:
  The study on attemperment arithmetic based on neural network of logistics distribution tracking and attemperment system used GSM cellular phone (July 2005). 284-287
  
• Jiansheng Wu, Mingzhe Liu:
  Improving generalization performance of artificial neural networks with genetic algorithms. 288-291
  
• Qingxiang Wu, Ping Wang, Xi Huang, Shan Yan:
  Adaptive discretizer for machine learning based on granular computing and rough sets. 292-295
  
• Trong Wu:
  Granular computing in programming language design. 296-302
  
• Wei-Zhi Wu, You-Hong Xu:
  On two types of generalized rough set approximations in incomplete information systems. 303-306
  
• Li Xiangpeng, Tang Qiang, Liu Qing:
  An minimal axiom group of rough set based on generalized relation. 307-309
  
• Li-ping Xie, Fan-zhang Li:
  A multi-agent learning model based on dynamic fuzzy logic. 310-313
  
• G. Yu Xiong, H. Petri:
  Supply chain inventory control in iron & steel industry: a case study. 314-317
  
• Wang Xuan, Yuanxiang Li:
  Solving traveling salesman problem by using a local evolutionary algorithm. 318-321
  
• Gao Yan, Shibao Sun, Keyun Qin:
  Knowledge reduction approach via quadratic entropy. 322-325
  
• Jingtao Yao:
  Information granulation and granular relationships. 326-329
  
• Xiao-ping Ye, Zhi-feng Lai, Lin Ye, Qi-chao Shen:
  Tasks-based MAS model on the granular computing framework. 330-333
  
• Chuanhua Zeng, Yang Xu, Zheng Pei, Weicheng Xie:
  Knowledge discovery for goods classification based on rough set. 334-337
  
• Chuanhua Zeng, Yang Xu, Zheng Pei, Weicheng Xie:
  On the alterability of rule [data mining]. 338-341
  
• Y. Zeng, M. Zhou, R. Wang:
  Similarity measure based on nonlinear compensatory model and fuzzy logic inference. 342-345
  
• C. J. Zhang, L. Zhang:
  Order relation is the necessary condition of success of fuzzy control system. 346-349
  
• Cheng-yi Zhang:
  Fuzzy sets and quotient spaces. 350-353
  
• Shuqin Zhang, Michael K. Ng, Wai-Ki Ching, Tatsuya Akutsu:
  A linear control model for gene intervention in a genetic regulatory network. 354-358
  
• Shu Zhao, Yanping Zhang, Ling Zhang, Jie Chen, Zhong Wan, Ying-chun Zhang, Chen-xi Zhang:
  The quotient structure in granule computing. 359-362
  
• Yaqin Zhao, Xianzhong Zhou:
  A clustering based on information granularity for high dimensional sparse data. 363-366
  
• Zheng Zheng, Hong Hu, Zhongzhi Shi:
  Tolerance granular space and its applications. 367-372
  
• Weizhong Zhu, Xia Lin, Xiaohua Hu, Bahrad A. Sokhansanj:
  Visualization of protein-protein interaction network for knowledge discovery. 373-377
  
• Yanqin Zhu, Fanzhang Li, Yuemei Hu:
  The design and application of dynamic fuzzy expert database system. 378-381
  

Volume 2

Research Papers

• Qasem A. Al-Radaideh, Md Nasir Sulaiman, Mohd Hasan Selamat, Hamidah Ibrahim:
  Approximate reduct computation by rough sets based attribute weighting. 383-386
  
• Priya Baliga, T. Y. Lin:
  Kolmogorov complexity based automata modeling for intrusion detection. 387-392
  
• Bing-yuan Cao:
  Research of non-distinct Solow economic growth model. 393-396
  
• Giovanna Castellano, Anna Maria Fanelli, Corrado Mencar:
  DCf: a double clustering framework for fuzzy information granulation. 397-400
  
• Symon S. Chang, Min S. Chiang:
  An e-intelligence approach to e-commerce intrusion detection. 401-404
  
• Shuwei Chen, Li Zou, Yan Gao, Yang Xu:
  A kind of support vector fuzzy classifiers. 405-408
  
• Zehua Chen, Gang Xie, Gaowei Yan, Keming Xie:
  Application of a matrix-based binary granular computing algorithm in RST. 409-412
  
• Ajay Choudhari, G. C. Nandi:
  Indiscernibility criterion based on rough sets in feature selection and detection of landmines. 413-416
  
• Paul Cotofrei, Kilian Stoffel:
  Temporal granular logic for temporal data mining. 417-422
  
• Jianhua Dai, Weidong Chen, Yunhe Pan:
  Sequent calculus system for rough sets based on rough Stone algebras. 423-426
  
• Du Yanhua, Ai Lifeng, Liu Chunhuang:
  Modeling and verification of train safety comprehensive monitoring system using temporal Petri nets. 427-430
  
• Yanping Du, Jianwei Yang:
  Intelligent agent-based expert system architecture for generating work plan in marshalling station. 431-434
  
• Hongjian Fan, Kotagiri Ramamohanarao:
  A weighting scheme based on emerging patterns for weighted support vector machines. 435-440
  
• Jiali Feng:
  Qualitative Mapping, Criterion Trasformation and Artificial Neuron. 441-446
  
• Qiu-peng Gu, Bing-yuan Cao:
  Approach to linear programming with fuzzy coefficients based on fuzzy numbers distance. 447-450
  
• Liu Guangli, Peng Bo:
  v-support vector classification with uncertainty based on expert advices. 451-453
  
• Hongbo Guo, Gang Xie, Zehua Chen, Keming Xie:
  Study of BP neural network based on MECA. 454-457
  
• Xiaowei He, Jiyi Wang, Jiong Jia:
  Fuzzy approximation operators based on internal/external factors analysis. 458-461
  
• Yinghua He, Bo Zhang, Jianmin Li:
  A new multiresolution classification model based on partitioning of feature space. 462-467
  
• Shoji Hirano,