Table of Contents

• Mining Incomplete Data - A Rough Set ApproachJerzy W. Grzymala-Busse. 1-7 [doi]
• Uncertainty and Feature Selection in Rough Set TheoryJiye Liang. 8-15 [doi]
• Towards Designing Human Centric Systems: A New View at System Modeling with Granular Membership GradesWitold Pedrycz. 16 [doi]
• Sufficiently Near Sets of NeighbourhoodsJames F. Peters. 17-24 [doi]
• History of Set Theory and Its Extensions in the Context of Soft ComputingSarjerao Nimse, Pawan Lingras. 25 [doi]
• Comparison of Classical Dimensionality Reduction Methods with Novel Approach Based on Formal Concept AnalysisEduard Bartl, Hana Rezanková, Lukas Sobisek. 26-35 [doi]
• Rule-Based Estimation of Attribute RelevanceJerzy Blaszczynski, Roman Slowinski, Robert Susmaga. 36-44 [doi]
• Applications of Approximate Reducts to the Feature Selection ProblemAndrzej Janusz, Sebastian Stawicki. 45-50 [doi]
• Dependence and Algebraic Structure of Formal ContextsTong-Jun Li, Ying-Xue Wu, Xiao-Ping Yang. 51-56 [doi]
• Optimal Sub-Reducts with Test Cost ConstraintFan Min, William Zhu. 57-62 [doi]
• An Efficient Fuzzy-Rough Attribute Reduction ApproachYuhua Qian, Chao Li, Jiye Liang. 63-70 [doi]
• A Novel Attribute Reduction Approach Based on the Object Oriented Concept LatticeMingwen Shao, Li Guo, Lan Li. 71-80 [doi]
• Rough-Set-Inspired Feature Subset Selection, Classifier Construction, and Rule AggregationDominik Slezak, Sebastian Widz. 81-88 [doi]
• A Constructive Feature Induction Mechanism Founded on Evolutionary Strategies with Fitness Functions Generated on the Basis of Decision TreesMariusz Wrzesien, Wieslaw Paja, Krzysztof Pancerz. 89-94 [doi]
• An Efficient Fuzzy Rough Approach for Feature SelectionFeifei Xu, Weiguo Pan, Lai Wei, Haizhou Du. 95-100 [doi]
• Partitions, Coverings, Reducts and Rule Learning in Rough Set TheoryYiyu Yao, Rong Fu. 101-109 [doi]
• A Rough Set Approach to Feature Selection Based on Relative Decision EntropyLin Zhou, Feng Jiang. 110-119 [doi]
• A Variable Precision Covering Generalized Rough Set ModelXinwei Zheng, Jian-Hua Dai. 120-125 [doi]
• Dominance-Based Rough Set Approach on Pairwise Comparison Tables to Decision Involving Multiple Decision MakersSalvatore Greco, Benedetto Matarazzo, Roman Slowinski. 126-135 [doi]
• Generalized Parameterized ApproximationsJerzy W. Grzymala-Busse. 136-145 [doi]
• Transversal and Function Matroidal Structures of Covering-Based Rough SetsShiping Wang, William Zhu, Fan Min. 146-155 [doi]
• Some Fuzzy Topologies Induced by Rough Fuzzy SetsWei-Zhi Wu, Yu-Fang Yang, You-Hong Xu. 156-165 [doi]
• Neighborhood Rough Sets Based Matrix Approach for Calculation of the ApproximationsJunbo Zhang, Tian-rui Li, Yan Yang, Lei Wang. 166-171 [doi]
• Case-Based Classifiers with Fuzzy Rough SetsShuang An, Qinghua Hu, Daren Yu. 172-177 [doi]
• Comparison of Greedy Algorithms for α-Decision Tree ConstructionAbdulaziz Alkhalid, Igor Chikalov, Mikhail Moshkov. 178-186 [doi]
• Constructing an Optimal Decision Tree for FAST Corner Point DetectionAbdulaziz Alkhalid, Igor Chikalov, Mikhail Moshkov. 187-194 [doi]
• Incremental Learning in AttributeNets with Dynamic Reduct and IQuickReductP. S. V. S. Sai Prasad, K. Hima Bindu, C. Raghavendra Rao. 195-200 [doi]
• LEM2-Based Rule Induction from Data Tables with Imprecise EvaluationsMasahiro Inuiguchi, Masahiko Tsuji, Yoshifumi Kusunoki, Masayo Tsurumi. 201-207 [doi]
• An Extension to Rough c-Means ClusteringFan Li, Qihe Liu. 208-216 [doi]
• A Modified Cop-Kmeans Algorithm Based on Sequenced Cannot-Link SetTonny Rutayisire, Yan Yang, Chao Lin, Jinyuan Zhang. 217-225 [doi]
• A NIS-Apriori Based Rule Generator in Prolog and Its Functionality for Table DataHiroshi Sakai, Michinori Nakata, Dominik Slezak. 226-231 [doi]
• Towards a Practical Approach to Discover Internal Dependencies in Rule-Based Knowledge BasesRoman Siminski, Agnieszka Nowak-Brzezinska, Tomasz Jach, Tomasz Xieski. 232-237 [doi]
• Discovering Patterns of Collaboration in Rough Set Research: Statistical and Graph-Theoretical ApproachZbigniew Suraj, Piotr Grochowalski, Lukasz Lew. 238-247 [doi]
• Comparing a Clustering Density Criteria of Temporal Patterns of Terms Obtained by Different Feature SetsHidenao Abe, Shusaku Tsumoto. 248-257 [doi]
• Similarity of Query Results in Similarity-Based DatabasesRadim Belohlávek, Lucie Urbanova, Vilém Vychodil. 258-267 [doi]
• Rough Set Based Quality of Service Design for Service Provisioning in CloudsPraveen Ganghishetti, Rajeev Wankar, Rafah M. Almuttairi, C. Raghavendra Rao. 268-273 [doi]
• GTrust: A Distributed Trust Model in Multi-Agent Systems Based on Grey System TheoryLijian He, Houkuan Huang, Xingye Dong. 274-279 [doi]
• Linear Necessity Measures and Their Applications to Possibilistic Linear ProgrammingMasahiro Inuiguchi, Tatsuya Higuchi, Masayo Tsurumi. 280-289 [doi]
• Remarks on Pairwise Comparison Numerical and Non-numerical RankingsRyszard Janicki, Yun Zhai. 290-300 [doi]
• Community-Based Relational Markov Networks in Complex NetworksHuaiyu Wan, Youfang Lin, Caiyan Jia, Houkuan Huang. 301-310 [doi]
• Applying Multi-Criteria Decision Analysis to Global Software Development with Scrum Project PlanningLuis Henrique Almeida, Plácido Rogério Pinheiro, Adriano Bessa Albuquerque. 311-320 [doi]
• Accuracy Evaluation of the System of Type 1 Diabetes PredictionRafal Deja. 321-326 [doi]
• Driver Status Recognition by Neighborhood Covering RulesYong Du, Qinghua Hu, Peijun Ma, Xiaohong Su. 327-336 [doi]
• Application of Gravitational Search Algorithm on Data ClusteringAbdolreza Hatamlou, Salwani Abdullah, Hossein Nezamabadi-pour. 337-346 [doi]
• Application of Rough Sets in GIS GeneralizationWenjing Li, Jia Qiu, Zhaocong Wu, Zhiyong Lin, Shaoning Li. 347-353 [doi]
• Application of Rough Set Theory for Evaluating Polysaccharides ExtractionShuang Liu, Lijun Sun, Yurong Guo, Jialin Gao, Lei Liu. 354-359 [doi]
• Identification of Print Technology Based on Homogeneous Regions of ImageUmadevi Maramreddy, Arun Agarwal, C. Raghavendra Rao. 360-365 [doi]
• Ant Based Clustering of MMPI Data - An Experimental StudyKrzysztof Pancerz, Arkadiusz Lewicki, Ryszard Tadeusiewicz, Jerzy Gomula. 366-375 [doi]
• Detection of Cancer Patients Using an Innovative Method for Learning at Imbalanced DatasetsHamid Parvin, Behrouz Minaei-Bidgoli, Hosein Alizadeh. 376-381 [doi]
• Information Reuse in Hospital Information Systems: A Similarity-Oriented Data Mining ApproachShusaku Tsumoto, Shoji Hirano. 382-387 [doi]
• A Model-Based Decision Support Tool Using Fuzzy Optimization for Climate ChangeOmar S. Soliman, Aboul Ella Hassanien, Neveen I. Ghali, Nashwa El-Bendary, Ruhul A. Sarker. 388-393 [doi]
• Clustering of Rough Set Related Documents with Use of Knowledge from DBpediaMarcin S. Szczuka, Andrzej Janusz, Kamil Herba. 394-403 [doi]
• Case-Based Reasoning Using Dominance-Based Decision RulesMarcin Szelag, Salvatore Greco, Jerzy Blaszczynski, Roman Slowinski. 404-413 [doi]
• RoSetOn: The Open Project for Ontology of Rough Sets and Related FieldsZbigniew Suraj, Piotr Grochowalski. 414-419 [doi]
• Fuzzy Description of Air Quality: A Case StudyJyoti Y. Yadav, Vilas Kharat, Ashok Deshpande. 420-427 [doi]
• A Robust Face Recognition Method Based on AdaBoost, EHMM and Sample PerturbationYong Yang, Kan Tian, Zhengrong Chen. 428-433 [doi]
• Roughness Approach to Color Image Segmentation through Smoothing Local DifferenceXiaodong Yue, Duoqian Miao, Yufei Chen, Hongzhong Chen. 434-439 [doi]
• On Local Inclusion Degree of Intuitionistic Fuzzy SetsLei Zhou. 440-446 [doi]
• Analysis of Data-Driven Parameters in Game-Theoretic Rough SetsJoseph P. Herbert, Jingtao Yao. 447-456 [doi]
• An Optimization Viewpoint of Decision-Theoretic Rough Set ModelXiuyi Jia, Weiwei Li, Lin Shang, Jiajun Chen. 457-465 [doi]
• Attribute Reduction in Decision-Theoretic Rough Set Model: A Further InvestigationHuaxiong Li, Xianzhong Zhou, Jiabao Zhao, Dun Liu. 466-475 [doi]
• A New Discriminant Analysis Approach under Decision-Theoretic Rough SetsDun Liu, Tian-rui Li, Decui Liang. 476-485 [doi]
• Construction of α-Decision Trees for Tables with Many-Valued DecisionsMikhail Moshkov, Beata Zielosko. 486-494 [doi]
• Decision Making in Incomplete Information System Based on Decision-Theoretic Rough SetsXiao-Ping Yang, Haiguang Song, Tong-Jun Li. 495-503 [doi]
• Automatically Determining the Number of Clusters Using Decision-Theoretic Rough SetHong Yu, Zhanguo Liu, Guoyin Wang. 504-513 [doi]
• A New Formulation of Multi-category Decision-Theoretic Rough SetsBing Zhou. 514-522 [doi]
• Parallel Computation in Finding Near NeighbourhoodsChristopher J. Henry, Sheela Ramanna. 523-532 [doi]
• ε-Near CollectionsJames F. Peters, Maciej Borkowski. 533-542 [doi]
• Nearness of Subtly Different Digital ImagesLeszek Puzio, James F. Peters. 543-552 [doi]
• A Generalization of Near Set ModelLidong Wang, Xiaodong Liu, Xiaojuan Tian. 553-558 [doi]
• Gauges, Pregauges and Completions: Some Theoretical Aspects of Near and Rough Set Approaches to DataMarcin Wolski. 559-568 [doi]
• Path Queries on Massive Graphs Based on Multi-granular Graph PartitioningFu-gui He, Yanping Zhang, Jie Chen, Ling Zhang. 569-578 [doi]
• A Minimal Test Suite Generation Method Based on Quotient Space TheoryLei Wu, Longshu Li. 579-584 [doi]
• Audio Signal Blind Deconvolution Based on the Quotient Space Hierarchical TheoryChao Zhang, Yuan Zhang, Xiao-Pei Wu. 585-590 [doi]
• The Optimal Approximation of Fuzzy Tolerance RelationLing Zhang, Yanping Zhang, Shu Zhao. 591-599 [doi]
• A New Method for Inconsistent Multicriteria ClassificationWeibin Deng, Guoyin Wang, Shuangxia Yang, Feng Hu. 600-609 [doi]
• Probabilistic Similarity-Based ReductWojciech Froelich, Alicja Wakulicz-Deja. 610-615 [doi]
• Inference Processes in Decision Support Systems with Incomplete KnowledgeAlicja Wakulicz-Deja, Agnieszka Nowak-Brzezinska, Tomasz Jach. 616-625 [doi]
• Synthesis of Synchronized Concurrent Systems Specified by Information SystemsZbigniew Suraj, Krzysztof Pancerz. 626-635 [doi]
• Efficiency of Complex Data ClusteringAlicja Wakulicz-Deja, Agnieszka Nowak-Brzezinska, Tomasz Xieski. 636-641 [doi]
• The Extraction Method of DNA Microarray Features Based on Experimental A StatisticsPiotr Artiemjew. 642-648 [doi]
• Granular Structures in GraphsGuang Chen, Ning Zhong. 649-658 [doi]
• Fuzzy Rough Granular Self Organizing MapAvatharam Ganivada, Shubhra Sankar Ray, Sankar K. Pal. 659-668 [doi]
• Knowledge Acquisition in Inconsistent Multi-scale Decision SystemsShen-Ming Gu, Wei-Zhi Wu. 669-678 [doi]
• Text Clustering Based on Granular Computing and WikipediaLiping Jing, Jian Yu. 679-688 [doi]
• Rough Relations, Neighborhood Relations, and Granular ComputingHe Lin, Yao Zhou. 689-695 [doi]
• Comparing Clustering Schemes at Two Levels of Granularity for Mobile Call MiningPawan Lingras, Parag Bhalchandra, Satish Mekewad, Ravindra Rathod, Santosh Khamitkar. 696-705 [doi]
• Granular-Based Partial Periodic Pattern Discovery over Time Series DataAibao Luo, Xiuyi Jia, Lin Shang, Yang Gao 0001, Yubin Yang. 706-711 [doi]
• Approximations of Functions: Toward Rough Granular CalculusAndrzej Skowron, Jaroslaw Stepaniuk. 712-721 [doi]
• Bipartite Graphs and CoveringsShiping Wang, William Zhu, Fan Min. 722-727 [doi]
• Covering-Based Reduction of Object-Oriented Concept LatticesLing Wei, Qiang Li. 728-733 [doi]
• Top-Down Progressive ComputingYiyu Yao, Jigang Luo. 734-742 [doi]
• Least Absolute Deviation CutJian Yu, Liping Jing. 743-752 [doi]
• Hierarchical Qualitative Inference Model with SubstructuresZehua Zhang, Duoqian Miao, Jin Qian. 753-762 [doi]
• Decision Rules for Decision Tables with Many-Valued DecisionsIgor Chikalov, Beata Zielosko. 763-768 [doi]