Table of Contents

• Optimal policies in multistage fuzzy control information granulation and interpolative reasoningJanusz Kacprzyk. 1-6 [doi]
• Difference between data mining and knowledge discovery - a view to discovery from knowledge-processingSetsuo Ohsuga. 7-12 [doi]
• Protein structure prediction and understanding using machine learning methodsYi Pan. 13 [doi]
• Intelligent business operation managementMing-Chien Shan. 14-15 [doi]
• Toward a generalized theory of uncertainty (GTU) - an outlineLotfi A. Zadeh. 16 [doi]
• Mechanism approach to a unified theory of artificial intelligenceY. X. Zhong. 17-21 [doi]
• A semantic-based approach for mining undiscovered public knowledge from biomedical literatureXiaohua Hu, Guangrong Li, Illhoi Yoo, Xiaodan Zhang, Xuheng Xu. 22-27 [doi]
• Some concepts and methods of information granule diffusionChongfu Huang, Ye Xue. 28-33 [doi]
• Structure-based approaches to attribute reduction in variable precision rough set modelsMasahiro Inuiguchi. 34-39 [doi]
• Granular computing: examples, intuitions and modelingTsau Young Lin. 40-44 [doi]
• Neuroscience and precisiated natural language-based search and question answering system: NeuSearchMasoud Nikravesh. 45-50 [doi]
• Data crystallization: a project beyond chance discovery for discovering unobservable eventsYukio Ohsawa. 51-56 [doi]
• Formal granular calculi based on rough inclusionsLech Polkowski. 57-69 [doi]
• Degree of Dependence as Granularity in a Contingency TableShusaku Tsumoto, Shoji Hirano. 63-69 [doi]
• A5 problem solving paradigm: a unified perspective and new results on RHT computing, mixture based learning, and evidence combinationLei Xu. 70-77 [doi]
• Reasoning with belief structures: non monotonic compatibility relationsRonald R. Yager. 78-84 [doi]
• Perspectives of granular computingY. Yao. 85-90 [doi]
• A theory of computation based on quantum logic (I)Mingsheng Ying. 91 [doi]
• Mini-Car-Soccer as a testbed for granular computingMasanori Yoshinaga, Yukihiro Nakamura, Einoshin Suzuki. 92-97 [doi]
• Quotient space based multi-granular computingLing Zhang, Bo Zhang. 98 [doi]
• Computational Web intelligence and granular Web intelligence for Web uncertaintyYan-Qing Zhang. 99-101 [doi]
• A rule generation algorithm based on granular computingJiu-Jiang An, Guoyin Wang, Yu Wu, Quan Gan. 102-107 [doi]
• The study of rough relational database based on granular computingQiusheng An, Yusheng Zhang, Wenxiu Zhang. 108-111 [doi]
• Analyzing time-series data by fuzzy data-mining techniqueChun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng. 112-117 [doi]
• A method of valuable rule discoveringJingnian Chen, Houkuan Huang, Shujun Fu, Xiangjun Li. 118-120 [doi]
• Generalizing quotient space theory from structural viewpointWan L. Chen, Jia X. Cheng. 121-124 [doi]
• Studying of granularity on groupXiaoqing Chen, Taorong Qiu, Qing Liu, Houkuan Huang. 125-127 [doi]
• Monitoring soybean disease and insect infection patterns in NebraskaXingchun Chen, Ron Roeber. 128-130 [doi]
• Fuzzy support vector machines for biomedical data analysisXiujuan Chen, Robert W. Harrison, Yanqing Zhang. 131-134 [doi]
• Handling incomplete quantitative data for supervised learning based on fuzzy entropyBeen-Chian Chien, Cheng-Feng Lu, Steen J. Hsu. 135-140 [doi]
• Image segmentation based on rough membership functionDong Min, Li Xiangpeng, Wang Li. 141-144 [doi]
• Another kind of fuzzy rough setsDu Wei-feng, Li Hai-ming, Gao Yan, Meng Dan. 145-148 [doi]
• Semi-order structure fusion model of quotient spaces under the condition of inconsistency informationHongbin Fang, Ling Zhang. 149-152 [doi]
• Feature selection based on rough set and information entropyJianchao Han. 153-158 [doi]
• Self-reproducing learning, data mining and intelligent predictive systemsJames Kuodo Huang. 159-162 [doi]
• Support vector machines with evolutionary interval neural networks for granular feature transformation in making effective biomedical data classificationBo Jin, Yan-Qing Zhang, Xiaohua Tony Hu. 163-166 [doi]
• Granular computing biapproximation spacesA. M. Kozae, H. M. Abu-Donia. 167-171 [doi]
• Genetic granular cognitive fuzzy neural networks and human brains for pattern recognitionJun Li, Natasha Barrett, Yan-Qing Zhang, David A. Washburn. 172-175 [doi]
• Rough sets on atomic Boolean latticesTong-Jun Li, Wen-Xiu Zhang, Jianmin Ma. 176-179 [doi]
• A method of multi-agent system conflict analysis based on rough set theoryXiangjun Li, Shengfeng Tian, Dayong Deng, Jingnian Chen. 180-184 [doi]
• Correspondence between causality diagram and neural networksLiang Xinyuan, Shi Qingxi, Zhang Qin. 185-188 [doi]
• Semantic based clustering of Web documentsTsau Young Lin, I-Jen Chiang. 189-192 [doi]
• Interval set representations of 1-v-r support vector machine multi-classifiersPawan Lingras, Cory J. Butz. 193-198 [doi]
• A lattice-valued linguistic-based decision making methodJun Liu, Yang Xu, Da Ruan, Luis Martínez. 199-202 [doi]
• Spatio-temporal granular logic and its applications to dynamic information systemsQing Liu, T. R. Qiu, X. Q. Chen. 203-208 [doi]
• Application of genetic algorithm in estimating origin-destination matrices of traffic networkGuang-ying Ma, Ping Li, Yu Wen, Xue-yan Du. 209-212 [doi]
• Uncertainty in generalized fuzzy rough setsJu-Sheng Mi, Zeng-Xiao Guo, Tao Feng, Hui-Yin Zhao. 213-216 [doi]
• Fuzzy rough set and its improvementDuoqian Miao, Daoguo Li, Shidong Fan. 217-220 [doi]
• Causality diagram using normal fuzzy numbersQingxi Shi, Xinyuan Liang, Qin Zhang. 221-224 [doi]
• An algorithm of association rules extracting based on granular computing and its applicationTaorong Qiu, Xiaoqing Chen, Qing Liu, Houkuan Huang. 225-228 [doi]
• Statistical interval-valued fuzzy systems via linear regressionYu Qiu, Yan-Qing Zhang, Yichuan Zhao. 229-232 [doi]
• A model of granular computing based on rough set theoryYing Sai, Pei-Yao Nie, Dongsheng Chu. 233-236 [doi]
• Analysis of numeric data streams at different granularitiesMehmet Sayal, Ming-Chien Shan. 237-242 [doi]
• Dynamic modeling and forecasting on enterprise revenue with derived granularitiesJerry Z. Shan, Hsiu-Khuern Tang, Ren Wu, Fereydoon Safai. 243-248 [doi]
• Isomorphic generating of concept latticesXiajiong Shen, Zongtian Liu, Qing Zhang, Yun Li, Baisheng Shi. 249-252 [doi]
• Approximations and adaptability of neural networksK. Shi, Shih-Huang Fei, C. Lin. 253-255 [doi]
• Spanning trees with restricted degrees for series-parallel graphMohammad Erfanul Hoque Siddiqi, M. Emdadul Haque, M. Shahin, M. Belal Hossan. 256-258 [doi]
• Method of scores analysis based on rough set theoryQiang Tang, XiangPeng Li, Jie Liu. 259-261 [doi]
• Granular support vector machines with data cleaning for fast and accurate biomedical binary classificationYuchun Tang, Yan-Qing Zhang. 262-265 [doi]
• Research and design of a self-managing storage clusterJi-Guang Wan, Xiao-Ming Dong, Ling Zhan. 266-269 [doi]
• The design of an autonomic computing model and the algorithm for decision-makingFei Wang, Fan-Zhang Li. 270-273 [doi]
• Truth-value based interval neutrosophic setsHaibin Wang, Yan-Qing Zhang, Rajshekhar Sunderraman. 274-277 [doi]
• Rough set model in incomplete and fuzzy decision information system based on improved-tolerance relationDa-kuan Wei, Xianzhong Zhou. 278-283 [doi]
• The study on attemperment arithmetic based on neural network of logistics distribution tracking and attemperment system used GSM cellular phone (July 2005)JiaJu Wu, Gang Liu, Peng Liu, ChuanYu Xi. 284-287 [doi]
• Improving generalization performance of artificial neural networks with genetic algorithmsJiansheng Wu, Mingzhe Liu. 288-291 [doi]
• Adaptive discretizer for machine learning based on granular computing and rough setsQingxiang Wu, Ping Wang, Xi Huang, Shan Yan. 292-295 [doi]
• Granular computing in programming language designTrong Wu. 296-302 [doi]
• On two types of generalized rough set approximations in incomplete information systemsWei-Zhi Wu, You-Hong Xu. 303-306 [doi]
• An minimal axiom group of rough set based on generalized relationLi Xiangpeng, Tang Qiang, Liu Qing. 307-309 [doi]
• A multi-agent learning model based on dynamic fuzzy logicLi-Ping Xie, Fan-Zhang Li. 310-313 [doi]
• Supply chain inventory control in iron & steel industry: a case studyG. Yu Xiong, H. Petri. 314-317 [doi]
• Solving traveling salesman problem by using a local evolutionary algorithmWang Xuan, Yuanxiang Li. 318-321 [doi]
• Knowledge reduction approach via quadratic entropyGao Yan, Shibao Sun, Keyun Qin. 322-325 [doi]
• Information granulation and granular relationshipsJingtao Yao. 326-329 [doi]
• Tasks-based MAS model on the granular computing frameworkXiao-ping Ye, Zhi-feng Lai, Lin Ye, Qi-chao Shen. 330-333 [doi]
• Knowledge discovery for goods classification based on rough setChuanhua Zeng, Yang Xu, Zheng Pei, Weicheng Xie. 334-337 [doi]
• On the alterability of rule [data mining]Chuanhua Zeng, Yang Xu, Zheng Pei, Weicheng Xie. 338-341 [doi]
• Similarity measure based on nonlinear compensatory model and fuzzy logic inferenceY. Zeng, M. Zhou, R. Wang. 342-345 [doi]
• Order relation is the necessary condition of success of fuzzy control systemC. J. Zhang, L. Zhang. 346-349 [doi]
• Fuzzy sets and quotient spacesCheng-yi Zhang. 350-353 [doi]
• A linear control model for gene intervention in a genetic regulatory networkShuqin Zhang, Michael K. Ng, Wai-Ki Ching, Tatsuya Akutsu. 354-358 [doi]
• The quotient structure in granule computingShu Zhao, Yanping Zhang, Ling Zhang, Jie Chen, Zhong Wan, Ying-chun Zhang, Chen-xi Zhang. 359-362 [doi]
• A clustering based on information granularity for high dimensional sparse dataYaqin Zhao, Xianzhong Zhou. 363-366 [doi]
• Tolerance granular space and its applicationsZheng Zheng, Hong Hu, Zhongzhi Shi. 367-372 [doi]
• Visualization of protein-protein interaction network for knowledge discoveryWeizhong Zhu, Xia Lin, Xiaohua Hu, Bahrad A. Sokhansanj. 373-377 [doi]
• The design and application of dynamic fuzzy expert database systemYanqin Zhu, Fanzhang Li, Yuemei Hu. 378-381 [doi]
• Approximate reduct computation by rough sets based attribute weightingQasem A. Al-Radaideh, Md Nasir Sulaiman, Mohd Hasan Selamat, Hamidah Ibrahim. 383-386 [doi]
• Kolmogorov complexity based automata modeling for intrusion detectionPriya Baliga, T. Y. Lin. 387-392 [doi]
• Research of non-distinct Solow economic growth modelBing-yuan Cao. 393-396 [doi]
• DCf: a double clustering framework for fuzzy information granulationGiovanna Castellano, Anna Maria Fanelli, Corrado Mencar. 397-400 [doi]
• An e-intelligence approach to e-commerce intrusion detectionSymon S. Chang, Min S. Chiang. 401-404 [doi]
• A kind of support vector fuzzy classifiersShuwei Chen, Li Zou, Yan Gao, Yang Xu. 405-408 [doi]
• Application of a matrix-based binary granular computing algorithm in RSTZehua Chen, Gang Xie, Gaowei Yan, Keming Xie. 409-412 [doi]
• Indiscernibility criterion based on rough sets in feature selection and detection of landminesAjay Choudhari, G. C. Nandi. 413-416 [doi]
• Temporal granular logic for temporal data miningPaul Cotofrei, Kilian Stoffel. 417-422 [doi]
• Sequent calculus system for rough sets based on rough Stone algebrasJianhua Dai, Weidong Chen, Yunhe Pan. 423-426 [doi]
• Modeling and verification of train safety comprehensive monitoring system using temporal Petri netsDu Yanhua, Ai Lifeng, Liu Chunhuang. 427-430 [doi]
• Intelligent agent-based expert system architecture for generating work plan in marshalling stationYanping Du, Jianwei Yang. 431-434 [doi]
• A weighting scheme based on emerging patterns for weighted support vector machinesHongjian Fan, Kotagiri Ramamohanarao. 435-440 [doi]
• Qualitative Mapping, Criterion Trasformation and Artificial NeuronJiali Feng. 441-446 [doi]
• Approach to linear programming with fuzzy coefficients based on fuzzy numbers distanceQiu-peng Gu, Bing-yuan Cao. 447-450 [doi]
• v-support vector classification with uncertainty based on expert advicesLiu Guangli, Peng Bo. 451-453 [doi]
• Study of BP neural network based on MECAHongbo Guo, Gang Xie, Zehua Chen, Keming Xie. 454-457 [doi]
• Fuzzy approximation operators based on internal/external factors analysisXiaowei He, Jiyi Wang, Jiong Jia. 458-461 [doi]
• A new multiresolution classification model based on partitioning of feature spaceYinghua He, Bo Zhang, Jianmin Li. 462-467 [doi]
• An indiscernibility-based clustering methodShoji Hirano, Shusaku Tsumoto. 468-473 [doi]
• Using contextual information to improve retrieval performanceXiangji Huang, Yan Rui Huang. 474-481 [doi]
• MEDM in general multi-granular hierarchical linguistic contexts based on the 2-tuples linguistic modelVan-Nam Huynh, Cat-Ho Nguyen, Yoshiteru Nakamori. 482-487 [doi]
• Weak ratio rules between nonnegative real-valued data in transactional databaseBaoqing Jiang, Yang Xu, Qing Wei 0003, Kun Wu. 488-491 [doi]
• Fuzzy logic based temperature controllerGagandeep Kaur, Ashutosh Chauhan, P. V. Subramanyam. 492-495 [doi]
• Ranking and selecting terms for text categorization via SVM discriminate boundaryTien-Fang Kuo, Yasutoshi Yajima. 496-501 [doi]
• An improved genetic algorithm for solving deceptive problemsJianwu Li, Minqiang Li. 502-505 [doi]
• Discovering and ranking important rulesJiye Li, Nick Cercone. 506-511 [doi]
• Intrusion detection system based on new association rule mining modelTian-rui Li, Wu-ming Pan. 512-515 [doi]
• Fuzzy similarity-based data fusion algorithm and its application to engine testingXiong Li, Zongchang Xu, Zhiming Dong. 516-519 [doi]
• An initial comparison of fuzzy sets and rough sets from the view of pansystems theoryYongli Li, Ying Liu, Xiaoyan Wang. 520-525 [doi]
• Segment procedure neural networksJiuzhen Liang, Xiaohong Wu. 526-529 [doi]
• Reasoning about relational granulation in modal logicsChurn-Jung Liau, T. Y. Lin. 530-534 [doi]
• Topological structures of rough sets over fuzzy latticesGuilong Liu, Delin Qu, Rou Song. 535-538 [doi]
• Clustering research using dynamic modeling based on granular computingQun Liu, WenBiao Jin, Siyuan Wu, Yinghua Zhou. 539-543 [doi]
• A fast optimization method of using nondominated sorting genetic algorithm (NSGA-II) and 1-nearest neighbor (1NN) classifier for numerical model calibrationYang Liu, Cheng Zhou, W. J. Ye. 544-549 [doi]
• Improved rule based rough set approach for target recognitionYong Liu, Congfu Xu, Zhiyong Yan, Yunhe Pan. 550-555 [doi]
• Analysis of using granules to find association rulesEric Louie, Tsau Young Em, Xiaohua Hu. 556-560 [doi]
• The fuzzy reasoning rules based on universal logicYingcang Ma, Huacan He. 561-564 [doi]
• Imperfect commonsense granular determinismLawrence J. Mazlack. 565-570 [doi]
• Rough reducts based SVM ensembleS. Y. Mei, Y. Liu, G. F. Wu, B. F. Zhang. 571-574 [doi]
• Formal security model research based on Petri-netLiu Mixia, Zhang Qiuyu, Yu Dongmei, Zhao Hong. 575-578 [doi]
• An evolution strategy for the induction of fuzzy finite-state automataZhiwen Mo, Min Wan, Lan Shu. 579-582 [doi]
• Spoken affect classification using neural networksDonn Morrison, Ruili Wang, Liyanage C. De Silva. 583-586 [doi]
• Intelligent decision support and information systems in enterprise: evolutionary-based optimizationMasoud Nikravesh. 587-592 [doi]
• Soft computing for reservoir characterization and managementMasoud Nikravesh. 593-598 [doi]
• Analyzing hepatitis data using ordered informationMuneaki Ohshima, Ning Zhong, Hideto Yokoi, Y. Y. Yao. 599-604 [doi]
• Information quanta and approximation spaces. I. Non-classical approximation operatorsPiero Pagliani. 605-610 [doi]
• Information quanta and approximation spaces II: generalised approximation spacesPiero Pagliani. 611-616 [doi]
• From soft sets to information systemsDaowu Pei, Duoqian Miao. 617-621 [doi]
• Algebraic reconstruction technique in image reconstruction with narrow fan-beamZhong Qu, Junhao Wen, Dan Yang, Yu Wu. 622-625 [doi]
• The convolution back projection algorithm based on windows functionZhong Qu. 626-629 [doi]
• GUHA method and granular computingJan Rauch, Milan Simunek. 630-635 [doi]
• Decomposition methodology for classification tasksLior Rokach, Oded Maimon. 636-641 [doi]
• The study of fault tolerant system design using complete evolution hardwareP. Subbiah, B. Ramamurthy. 642-645 [doi]
• Linear independence in a contingency tableShusaku Tsumoto, Shoji Hirano. 646-651 [doi]
• Compact transaction database for efficient frequent pattern miningQian Wan, Aijun An. 652-659 [doi]
• Decentralized execution of composite e-services with VINCA micro engineJing Wang, Yanbo Han. 660-665 [doi]
• Classification using support vector machines with graded resolutionLipo Wang, Bing Liu, Chunru Wan. 666-670 [doi]
• Quotient space model of hierarchical query-by-humming systemZhi Wang, Bo Zhang. 671-674 [doi]
• Information granules in general and complete coveringsChen Wu, Xibei Yang. 675-678 [doi]
• Generalized rough equivalence and generalized rough inclusion based on equivalence operator of pansystems of rough setsLili Wu, Yongli Li, He Lin. 679-682 [doi]
• The design and application of structured types in Ptolemy IIYuhong Xiong, Edward A. Lee, Xiaojun Liu, Yang Zhao, Lizhi C. Zhong. 683-688 [doi]
• A multi-stage fuzzy classifier for off-line handwritten Chinese character recognitionShaozhen Ye, Jiarui Chen. 689-692 [doi]
• Detecting similar HTML documents using a fuzzy set information retrieval approachRajiv Yerra, Yiu-Kai Ng. 693-699 [doi]
• A granulation-based method for finding similarity between time seriesFusheng Yu, Fei Chen, Keqiang Dong. 700-703 [doi]
• Improvement of priority method for fuzzy complementary judgment matrixXue-lan Zeng, Yan-de Gong, Xian-juan Cheng. 704-707 [doi]
• Building k-nearest neighbor classifiers on vertically partitioned private dataJustin Z. Zhan, LiWu Chang, Stan Matwin. 708-711 [doi]
• A positive extension matrix algorithm/sub AE18/ of learning from examplesHaiyi Zhang, Jin Lei. 712-717 [doi]
• A k-nearest neighbor based algorithm for multi-label classificationMin-Ling Zhang, Zhi-Hua Zhou. 718-721 [doi]
• Data Web house to support Web intelligence in e-learning environmentsMarta E. Zorrilla, Socorro Millán, Ernestina Menasalvas Ruiz. 722-727 [doi]
• Evaluation and automatic selection of methods for handling missing dataYing Zou, Aijun An, Xiangji Huang. 728-733 [doi]