Rough sets, fuzzy sets, data mining, and granular computing. 9th international conference, RSFDGrC 2003, Chongqing, China, May 26--29, 2003. Proceedings
The articles of this volume will be reviewed individually. Indexed articles: \textit{Pawlak, Zdzislaw}, Flow graphs and decision algorithms, 1-10 [Zbl 1026.68646] \textit{Zhang, Ling; Zhang, Bo}, The quotient space theory of problem solving, 11-15 [Zbl 1026.68671] \textit{Lin, Tsau Young}, Granular computing, 16-24 [Zbl 1026.68636] \textit{Skowron, Andrzej; Peters, James F.}, Rough sets: Trends and challenges, 25-34 [Zbl 1026.68653] \textit{Wang, Shoujue}, A new development on ANN in China -- biomimetic pattern recognition and multi weight vector neurons, 35-43 [Zbl 1026.68590] \textit{Yao, Y. Y.}, On generalizing rough set theory, 44-51 [Zbl 1026.68669] \textit{Tanaka, Hideo}, Dual mathematical models based on rough approximations in data analysis, 52-59 [Zbl 1026.68658] \textit{Zhong, Y. X.}, Knowledge theory: Outline and impact, 60-69 [Zbl 1026.68610] \textit{Polkowski, Lech}, A rough set paradigm for unifying rough set theory and fuzzy set theory, 70-77 [Zbl 1026.68648] \textit{Tsumoto, Shusaku}, Extracting structure of medical diagnosis: Rough set approach, 78-88 [Zbl 1026.68660] \textit{Li, Hongxing; Wang, Jiayin; Miao, Zhihong}, A kind of linearization method in fuzzy control system modeling, 89-98 [Zbl 1026.93511] \textit{Wong, S. K. M.; Wu, D.}, A common framework for rough sets, databases, and Bayesian networks, 99-103 [Zbl 1026.68664] \textit{Pal, Sankar K.; Mitra, Pabitra}, Rough sets, EM algorithm, MST and multispectral image segmentation, 104-105 [Zbl 1026.68676] \textit{Polkowski, Lech}, Rough mereology: A survey of new developments with applications to granular computing, spatial reasoning and computing with words, 106-113 [Zbl 1026.68649] \textit{Hu, Xiaohua Tony; Lin, Tsau Young; Han, Jianchao}, A new rough sets model based on database systems, 114-121 [Zbl 1026.68629] \textit{Zheng, Zheng; Wang, Guoyin; Wu, Yu}, A rough set and rule tree based incremental knowledge acquisition algorithm, 122-129 [Zbl 1026.68674] \textit{Lingras, Pawan; Yan, Rui; West, Chad}, Comparison of conventional and rough \(k\)-means clustering, 130-137 [Zbl 1026.68637] \textit{Miao, Duoqian; Hou, Lishan}, An application of rough sets to Monk's problems solving, 138-145 [Zbl 1026.68642] \textit{Pagliani, Piero}, Pre-topologies and dynamic spaces, 146-155 [Zbl 1026.68645] \textit{Greco, Salvatore; Inuiguchi, Masahiro; Słowiński, Roman}, Rough sets and gradual decision rules, 156-164 [Zbl 1026.68627] \textit{Yao, Y. Y.; Zhao, Y.; Maguire, R. Brien}, Explanation oriented association mining using rough set theory, 165-172 [Zbl 1026.68668] \textit{Wei, Li-Li; Zhang, Wen-Xiu}, Probabilistic rough sets characterized by fuzzy sets, 173-180 [Zbl 1026.68663] \textit{Bazan, Jan; Son, Nguyen Hung; Skowron, Andrzej; Szczuka, Marcin S.}, A view on rough set concept approximations, 181-188 [Zbl 1026.68615] \textit{Ziarko, Wojciech}, Evaluation of probabilistic decision tables, 189-196 [Zbl 1026.68675] \textit{Vitória, Aida; Damásio, Carlos Viegas; Małuszyński, Jan}, Query answering in rough knowledge bases, 197-204 [Zbl 1026.68662] \textit{Apostoli, Peter; Kanda, Akira}, Upper and lower recursion schemes in abstract approximation spaces, 205-212 [Zbl 1026.68614] \textit{Peters, James F.; Feng, H.; Ramanna, Sheela}, Adaptive granular control of an HVDC system: A rough set approach, 213-220 [Zbl 1026.93508] \textit{Nguyen, Tuan Trung; Skowron, Andrzej}, Rough set approach to domain knowledge approximation, 221-228 [Zbl 1026.68644] \textit{Skowron, Andrzej; Synak, Piotr}, Reasoning based on information changes in information maps, 229-236 [Zbl 1026.68652] \textit{Tsumoto, Shusaku}, Characteristics of accuracy and coverage in rule induction, 237-244 [Zbl 1026.68659] \textit{Hassan, Yasser; Tazaki, Eiichiro}, Interpretation of rough neural networks as emergent model, 245-249 [Zbl 1026.68628] \textit{Jensen, Richard; Shen, Qiang}, Using fuzzy dependency-guided attribute grouping in feature selection, 250-254 [Zbl 1026.68631] \textit{Semeniuk-Polkowska, Maria; Polkowski, Lech}, Conjugate information systems: Learning cognitive concepts in rough set theory, 255-258 [Zbl 1026.68651] \textit{Li, Ai-Ping; Liao, Gui-Ping; Wu, Quan-Yuan}, A rule induction method of plant disease description based on rough sets, 259-263 [Zbl 1026.68633] \textit{Chin, K. S.; Liang, Jiye; Dang, Chuangyin}, Rough set data analysis algorithms for incomplete information systems, 264-268 [Zbl 1026.68623] \textit{Ye, Dongyi; Chen, Zhaojiong}, Inconsistency classification and discernibility-matrix-based approaches for computing an attribute core, 269-273 [Zbl 1026.68670] \textit{Wu, QingXiang; Bell, David}, Multi-knowledge extraction and application, 274-278 [Zbl 1026.68666] \textit{Intan, Rolly; Mukaidono, Masao}, Multi-rough sets based on multi-contexts of attributes, 279-282 [Zbl 1026.68630] \textit{Mi, Ju-Sheng; Wu, Wei-Zhi; Zhang, Wen-Xiu}, Approaches to approximation reducts in inconsistent decision tables, 283-286 [Zbl 1026.68641] \textit{Beynon, Malcolm J.}, Degree of dependency and quality of classification in the extended variable precision rough sets model, 287-290 [Zbl 1026.68617] \textit{Kuo, Tien-Fang; Yajima, Yasutoshi}, Approximate reducts of an information system, 291-294 [Zbl 1026.68632] \textit{Geng, Hongyan; Maguire, R. Brien}, A rough set methodology to support learner self-assessment in web-based distance education, 295-298 [Zbl 1026.68626] \textit{Suraj, Zbigniew; Pancerz, Krzysztof}, A synthesis of concurrent systems: A rough set approach, 299-302 [Zbl 1026.68657] \textit{Peters, James F.; Ramanna, Sheela; Szczuka, Marcin S.}, Towards a line-crawling robot obstacle classification system: A rough set approach, 303-307 [Zbl 1026.68647] \textit{Ślȩzak, Dominik; Wróblewski, Jakub}, Order based genetic algorithms for the search of approximate entropy reducts, 308-311 [Zbl 1026.68654] \textit{Ślȩzak, Dominik; Ziarko, Wojciech}, Variable precision Bayesian rough set model, 312-315 [Zbl 1026.68655] \textit{Tsumoto, Shusaku}, Linear independence in contingency table, 316-319 [Zbl 1026.68661] \textit{Sui, Yuefei; Xia, Youming; Wang, Ju}, The information entropy of rough relational databases, 320-324 [Zbl 1026.68656] \textit{Huang, Jinjie; Li, Shiyong; Man, Chuntao}, A T-S type of rough fuzzy control system and its implementation, 325-328 [Zbl 1026.93510] \textit{Cao, Cungen; Sui, Yuefei; Zhang, Zaiyue}, Rough mereology in knowledge representation, 329-333 [Zbl 1026.68607] \textit{Li, Yuancheng; Fang, Tingjian}, Rough set methods for constructing support vector machines, 334-338 [Zbl 1026.68634] \textit{Xiong, Fenglan; Ding, Xiangqian; Liu, Yuhai}, The lattice property of fuzzy rough sets, 339-341 [Zbl 1026.68667] \textit{An, Qiusheng; Wang, Guoyin; Shen, Junyi; Xu, Jiucheng}, Querying data from RRDB based on rough sets theory, 342-345 [Zbl 1026.68613] \textit{Liu, Fuyan; Lu, Shaoyi}, An inference approach based on rough sets, 346-349 [Zbl 1026.68638] \textit{Zhao, Yongqiang; Zhang, Hongcai; Pan, Quan}, Classification using the variable precision rough set, 350-353 [Zbl 1026.68673] \textit{Beynon, Malcolm J.}, An illustration of the effect of continuous valued discretisation in data analysis using VPRS\(_\beta\), 354-357 [Zbl 1026.68616] \textit{Xie, Keming; Wang, Fang; Xie, Gang; Lin, Tsau Young}, Application of fuzzy control base on changeable universe to superheated steam temperature control system, 358-362 [Zbl 1026.93512] \textit{Li, Yuancheng; Fang, Tingjian}, Application of fuzzy support vector machines in short-term load forecasting, 363-367 [Zbl 1026.68583] \textit{El-Sayed, Mazen; Pacholczyk, Daniel}, A symbolic approximate reasoning, 368-373 [Zbl 1026.68625] \textit{Chakrabarty, Kankana}, Intuition in soft decision analysis, 374-377 [Zbl 1026.68620] \textit{Zhao, Deyong; Wang, Xinfeng; Liu, Jianguo}, Ammunition supply decision-making system design based on fuzzy control, 378-381 [Zbl 1026.93513] \textit{Liu, Yunxiang; Sun, Jigui; Wang, Sheng-sheng}, The concept of approximation based on fuzzy dominance relation in decision-making, 382-385 [Zbl 1026.68640] \textit{Ming, Liang; Xie, Guihai; Wang, Yinlong}, An image enhancement arithmetic research based on fuzzy set and histogram, 386-389 [Zbl 1026.68751] \textit{Yu, Jian; Yang, Miin-shen}, A study on a generalized FCM, 390-393 [Zbl 1026.62500] \textit{Li, Kai; Huang, Houkuan; Yu, Jian}, Fuzzy multiple synapses neural network and fuzzy clustering, 394-397 [Zbl 1026.92500] \textit{Zhang, Wei-Guo; Nie, Zan-Kan}, On possibilistic variance of fuzzy numbers, 398-402 [Zbl 1026.68672] \textit{Lin, Tsau Young}, Deductive data mining, 403-404 [Zbl 1026.68527] \textit{Doherty, Patrick; Łukaszewicz, Witold; Szałas, Andrzej}, Information granules for intelligent knowledge structures, 405-412 [Zbl 1026.68624] \textit{Liu, Qing; Jiang, Feng; Deng, Dayong}, Design and implement for diagnosis systems of hemorheology on blood viscosity syndrome based on GrC, 413-420 [Zbl 1026.68639] \textit{Murai, T.; Resconi, G.; Nakata, M.; Sato, Y.}, Granular reasoning using zooming in \& out. I. Propositional reasoning, 421-424 [Zbl 1026.68643] \textit{Chen, Bo; Zhou, Mingtian}, A pure mereological approach to roughness, 425-429 [Zbl 1026.68621] \textit{Yao, J. T.}, Knowledge based descriptive neural networks, 430-436 [Zbl 1026.68594] \textit{Oh, Sung-Kwun; Peters, James F.; Pedrycz, Witold; Ahn, Tae-Chon}, Genetically optimized rule-based fuzzy polynomial neural networks: Synthesis of computational intelligence technologies, 437-444 [Zbl 1026.68585] \textit{Yan, Zhong; Yuan, Chun-Wie}, Ant colony optimization for navigating complex labyrinths, 445-448 [Zbl 1026.68593] \textit{Zhang, Gexiang; Jin, Weidong; Li, Na}, An improved quantum genetic algorithm and its application, 449-452 [Zbl 1026.68598] \textit{Dunphy, Julia R.; Salcedo, Jose J.; Murphy, Keri S.}, Intelligent generation of candidate sets for genetic algorithms in very large search spaces, 453-457 [Zbl 1026.68578] \textit{Nastac, Dumitru-Iulian; Matei, Razvan}, Fast retraining of artificial neural networks, 458-461 [Zbl 1026.68584] \textit{Jee, Dong-kun; Lee, Jung-sik; Lee, Ju-Hong}, Fuzzy-ARTMAP and higher-order statistics based blind equalization, 462-465 [Zbl 1026.68580] \textit{Zhang, Chunlin; Jiang, Ju; Kamel, Mohamed}, Comparison of BPL and RBF network in intrusion detection system, 466-470 [Zbl 1026.68597] \textit{Babri, H. A.; Chen, Y. Q.; Ahsan, Kamran}, Back propagation with randomized cost function for training neural networks, 471-475 [Zbl 1026.68576] \textit{Zhou, Zhi-Hua; Tang, Wei}, Selective ensemble of decision trees, 476-483 [Zbl 1026.68599] \textit{Wang, Hui; Li, Qinghua; Ma, Chuanxiang; Li, Kenli}, A maximal frequent itemset algorithm, 484-490 [Zbl 1026.68533] \textit{Ou, Chuangxin; Liu, Chunnian; Huang, Jiajing; Zhong, Ning}, On data mining for direct marketing, 491-498 [Zbl 1026.68530] \textit{Li, Hongsong; Huang, Houkuan; Lin, Youfang}, A new incremental maintenance algorithm of data cube, 499-506 [Zbl 1026.68525] \textit{Bell, David A.; Guan, J. W.}, Data mining for motifs in DNA sequences, 507-514 [Zbl 1026.68519] \textit{Fan, Hongjian; Fan, Ming; Wang, Bingzheng}, Maximum item first pattern growth for mining frequent patterns, 515-523 [Zbl 1026.68523] \textit{Li, Yuefeng}, Extended random sets for knowledge discovery in information systems, 524-532 [Zbl 1026.68526] \textit{Liu, Zongtian; Li, Liansheng; Zhang, Qing}, Research on a union algorithm of multiple concept lattices, 533-540 [Zbl 1026.68609] \textit{Xie, Ying; Raghavan, Vijay V.}, A theoretical framework for knowledge discovery in databases based on probabilistic logic, 541-548 [Zbl 1026.68534] \textit{Wang, Zhenxiao; Yang, Jie; Li, Guozheng}, An improved branch \& bound algorithm in feature selection, 549-556 [Zbl 1026.68591] \textit{Nah, Won; Baek, Joong-Hwan}, Classification of Caenorhabditis elegans behavioural phenotypes using an improved binarization method, 557-564 [Zbl 1026.92501] \textit{Nguyen, Ngoc Thanh; Sobecki, Janusz}, Consensus versus conflicts -- methodology and applications, 565-572 [Zbl 1026.68503] \textit{Li, Dan; Deogun, Jitender; Harms, Sherri}, Interpolation techniques for geo-spatial association rule mining, 573-580 [Zbl 1026.68582] \textit{Matzlack, Lawrence J.}, Imprecise causality in mined rules, 581-588 [Zbl 1026.68529] \textit{Zhu, Meilin; Wang, Yue; Chen, Shifu; Liu, Xiangdong}, Sphere-structured support vector machines for multi-class pattern recognition, 589-593 [Zbl 1026.68600] \textit{Gong, ZhengYu; Shi, Jing; Qiu, HangPing}, HIPRICE -- A hybrid model for multi-agent intelligent recommendation, 594-597 [Zbl 1026.68611] \textit{Zheng, Ji-chuan; Hu, Zheng-guo; Xing, Liang-liang}, A database-based job management system, 598-602 [Zbl 1026.68535] \textit{Gan, Wenyan; Li, Deyi}, Optimal choice of parameters for a density-based clustering algorithm, 603-606 [Zbl 1026.68524] \textit{Quan, Yong; Yang, Jie}, An improved parameter tuning method for support vector machines, 607-610 [Zbl 1026.68531] \textit{Moshkov, Mikhail J.}, Approximate algorithm for minimization of decision tree depth, 611-614 [Zbl 1026.68604] \textit{Valdés, Julio J.}, Virtual reality representation of information systems and decision rules: An exploratory technique for understanding data and knowledge structure, 615-618 [Zbl 1026.68532] \textit{Dong, Yi-hong}, Hierarchical clustering algorithm based on neighborhood-linked in large spatial databases, 619-622 [Zbl 1026.68522] \textit{Kang, Seung-Shik; Woo, Chong-Woo}, Unsupervised learning of pattern templates from unannotated corpora for proper noun extraction, 623-626 [Zbl 1026.68581] \textit{Chun, Seok-Ju; Lee, Ju-Hong; Lee, Seok-Lyong}, Approximate aggregate queries with guaranteed error bounds, 627-630 [Zbl 1026.68520] \textit{Shi, Hongbo; Wang, Zhihai; Huang, Houkuan}, Improving classification performance by combining multiple TAN classifiers, 631-634 [Zbl 1026.68588] \textit{Zeng, Huanglin; Yi, Yao}, Image recognition using adaptive fuzzy neural network and wavelet transform, 635-639 [Zbl 1026.68603] \textit{Jiang, Yuan; Chen, Ke-Jia; Zhou, Zhi-Hua}, SOM based image segmentation, 640-643 [Zbl 1026.68750] \textit{Shi, Jing; Shi, Fang; Qiu, HangPing}, User's interests navigation model based on hidden Markov model, 644-647 [Zbl 1026.68589] \textit{Quan, Yong; Yang, Jie; Ye, Chenzhou}, Successive overrelaxation for support vector regression, 648-651 [Zbl 1026.68586] \textit{Rao, Xian; Dong, Cun-xi; Yang, Shao-quan}, Statistic learning and intrusion detection, 652-659 [Zbl 1026.68587] \textit{Wen, Lei; Li, Minqiang}, A new association rules mining algorithms based on directed itemsets graph, 660-663 [Zbl 1026.68592] \textit{Lin, Youfang; Huang, Houkuan; Li, Hongsong}, A distributed multidimensional data model of data warehouse, 664-667 [Zbl 1026.68528] \textit{Liau, Churn-Jung}, An overview of hybrid possibilistic reasoning, 668-675 [Zbl 1026.68635] \textit{Wong, S. K. M.; Wu, D.; Yao, Y. Y.}, Critical remarks on the computational complexity in probabilistic inference, 676-681 [Zbl 1026.68665] \textit{Butz, Cory J.; Hu, Qiang; Yang, Xue Dong}, Critical remarks on the maximal prime decomposition of Bayesian networks, 682-685 [Zbl 1026.68619] \textit{Butz, Cory J.; Yao, Hong; Hamilton, Howard J.}, A non-local coarsening result in granular probabilistic networks, 686-689 [Zbl 1026.68618] \textit{Qi, Guilin}, Probabilistic inference on three-valued logic, 690-693 [Zbl 1026.68650] \textit{Lu, Yi-nan; Wang, Sheng-sheng; Sha, Sheng-xian}, Multi-dimensional observer-centred qualitative spatial-temporal reasoning, 694-696 [Zbl 1026.68606] \textit{Lee, S. K.; Kim, Taiyun}, Architecture specification for design of agent-based system in domain view, 697-700 [Zbl 1026.68612] \textit{Chen, Bo; Zhou, Mingtian}, Adapting granular rough theory to multi-agent context, 701-705 [Zbl 1026.68622] \textit{Gao, Yang; Sun, Zhaochun; Li, Ning}, How to choose the optimal policy in multi-agent belief revision?, 706-710 [Zbl 1026.68605] \textit{Tang, Jie; Li, Juan-Zi; Wang, Ke-Hong; Cai, Yue-Ru}, Research of atomic and anonymous electronic commerce protocol, 711-714 [Zbl 1026.68752] \textit{Zhou, Shijie; Qin, Zhiguang; Zhang, Feng; Zhang, Xianfeng; Chen, Wei; Liu, Jinde}, Colored Petri net based attack modeling, 715-718 [Zbl 1026.68754] \textit{Nakamatsu, Kazumi; Seno, Toshiaki; Abe, Jair Minoro; Suzuki, Atsuyuki}, Intelligent real-time traffic signal control based on a paraconsistent logic program EVALPSN, 719-723 [Zbl 1026.93507] \textit{Erturk, Ismail}, Transporting CAN messages over WATM, 724-729 [Zbl 1026.68502] \textit{Yang, Bo; Li, Han; Li, Yi; Yang, Shaojun}, A hybrid intrusion detection strategy used for web security, 730-733 [Zbl 1026.68753] \textit{Zeng, Haiquan; Shen, Zhan; Hu, Yunfa}, Mining sequence pattern from time series based on inter-relevant successive trees model, 734-737 [Zbl 1026.68596]
scientific article; zbMATH DE number 1979346