5. RSCTC 2006: Kobe, Japan

Invited Papers

• Zdzislaw Pawlak:
  Decision Trees and Flow Graphs. 1-11
  
• Lotfi A. Zadeh:
  Granular Computing - The Concept of Generalized Constraint-Based Computation. 12-14
  
• Didier Dubois, Henri Prade:
  Bipolar Representations in Reasoning, Knowledge Extraction and Decision Processes. 15-26
  
• Mitsuo Nagamachi:
  Kansei Engineering and Rough Sets Model. 27-37
  
• Wojciech Ziarko:
  Stochastic Approach to Rough Set Theory. 38-48
  

Commemorative Papers for Professor Pawlak

• Andrzej Skowron, James F. Peters:
  Zdzislaw Pawlak Commemorating His Life and Work. 49-52
  
• Shusaku Tsumoto:
  Pawlak Rough Set Model, Medical Reasoning and Rule Mining. 53-70
  

Logics in Rough Sets

• J. A. Pomykala:
  Algebras of Terms in Pawlak's Information Systems. 71-76
  
• Patrik Eklund, Maria A. Galán:
  Monads Can Be Rough. 77-84
  
• Mikhail Moshkov, Andrzej Skowron, Zbigniew Suraj:
  On Testing Membership to Maximal Consistent Extensions of Information Systems. 85-90
  
• Hui Sun, Qing Liu:
  The Research of Rough Sets in Normed Linear Space. 91-98
  
• Jianhua Dai, Hanfei Lv, Weidong Chen, Yunhe Pan:
  Two Kinds of Rough Algebras and Brouwer-Zadeh Lattices. 99-106
  

Logics in Fuzzy Sets

• Wladyslaw Homenda, Witold Pedrycz:
  Balanced Fuzzy Gates. 107-116
  
• Bart Van Gasse, Chris Cornelis, Glad Deschrijver, Etienne E. Kerre:
  Triangle Algebras: Towards an Axiomatization of Interval-Valued Residuated Lattices. 117-126
  

Fuzzy-Rough Hybridization

• Alicja Mieszkowicz-Rolka, Leszek Rolka:
  An Approach to Parameterized Approximation of Crisp and Fuzzy Sets. 127-136
  
• Ming-Wen Shao, Min Liu, Wen-Xiu Zhang:
  Rough Fuzzy Set Approximations in Fuzzy Formal Contexts. 137-146
  
• Richard Jensen, Qiang Shen:
  Webpage Classification with ACO-Enhanced Fuzzy-Rough Feature Selection. 147-156
  

Approximate and Uncertain Reasoning

• Dominik Slezak:
  Association Reducts: Complexity and Heuristics. 157-164
  
• Andrzej Skowron, Piotr Synak:
  Planning Based on Reasoning About Information Changes. 165-173
  
• Tong-Jun Li:
  Rough Approximation Operators in Covering Approximation Spaces. 174-182
  

Variable Precision Rough Set Models

• Jinmao Wei, Guo-Ying Wang, Xiang-Ming Kong, Shu-Jie Li, Shuqin Wang, Dayou Liu:
  A New Method for Discretization of Continuous Attributes Based on VPRS. 183-190
  
• Jerzy Blaszczynski, Salvatore Greco, Roman Slowinski, Marcin Szelag:
  On Variable Consistency Dominance-Based Rough Set Approaches. 191-202
  
• Masahiro Inuiguchi, Yukihiro Yoshioka:
  Variable-Precision Dominance-Based Rough Set Approach. 203-212
  

Incomplete/Nondeterministic Information Systems

• Michinori Nakata, Hiroshi Sakai:
  Applying Rough Sets to Data Tables Containing Imprecise Information Under Probabilistic Interpretation. 213-223
  
• Jerzy Blaszczynski, Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski, Marcin Szelag:
  Ensembles of Decision Rules for Solving Binary Classification Problems in the Presence of Missing Values. 224-234
  
• Chen Wu, Xiaohua Hu, Jingyu Yang, Xibei Yang:
  Expanding Tolerance RST Models Based on Cores of Maximal Compatible Blocks. 235-243
  
• Jerzy W. Grzymala-Busse, Wojciech Rzasa:
  Local and Global Approximations for Incomplete Data. 244-253
  
• Jan G. Bazan, Rafal Latkowski, Marcin S. Szczuka:
  Missing Template Decomposition Method and Its Implementation in Rough Set Exploration System. 254-263
  
• Hiroshi Sakai, Michinori Nakata:
  On Possible Rules and Apriori Algorithm in Non-deterministic Information Systems. 264-273
  

Decision Support

• Sheela Ramanna, James F. Peters, Andrzej Skowron:
  Generalized Conflict and Resolution Model with Approximation Spaces. 274-283
  
• Salvatore Greco, Benedetto Matarazzo, Roman Slowinski:
  Rough Set Approach to Customer Satisfaction Analysis. 284-295
  
• Van-Nam Huynh, Yoshiteru Nakamori, Tu Bao Ho:
  Utility Function Induced by Fuzzy Target in Probabilistic Decision Making. 296-305
  

Multi-criteria Decision Support

• Salvatore Greco, Benedetto Matarazzo, Roman Slowinski:
  Dominance-Based Rough Set Approach to Decision Involving Multiple Decision Makers. 306-317
  
• Krzysztof Dembczynski, Salvatore Greco, Wojciech Kotlowski, Roman Slowinski:
  Quality of Rough Approximation in Multi-criteria Classification Problems. 318-327
  
• Ye Chen, Kevin W. Li, Jason Levy, Keith W. Hipel, D. Marc Kilgour:
  Rough-Set Multiple-Criteria ABC Analysis. 328-337
  

Rough Sets in KDD

• Yasuo Kudo, Tetsuya Murai:
  A Method of Generating Decision Rules in Object-Oriented Rough Set Models. 338-347
  
• Xiaoxue Song, Wen-Xiu Zhang:
  Knowledge Reduction in Set-Valued Decision Information System. 348-357
  
• Pawel Terlecki, Krzysztof Walczak:
  Local Reducts and Jumping Emerging Patterns in Relational Databases. 358-367
  
• Yuefeng Li, Ning Zhong:
  Mining Rough Association from Text Documents. 368-377
  
• Marek Sikora, Marcin Michalak:
  NetTRS - Induction and Postprocessing of Decision Rules. 378-387
  
• Feng Jiang, Yuefei Sui, Cungen Cao:
  Outlier Detection Based on Rough Membership Function. 388-397
  

Rough Sets in Medicine

• Sukanya Mitra, Mandar Mitra, Bidyut Baran Chaudhuri:
  An Approach to a Rough Set Based Disease Inference Engine for ECG Classification. 398-407
  
• Kenneth Revett, Marcin S. Szczuka, Pari Jahankhani, Vassilis Kodogiannis:
  Attribute Selection for EEG Signal Classification Using Rough Sets and Neural Networks. 408-417
  
• Jan G. Bazan, Piotr Kruczek, Stanislawa Bazan-Socha, Andrzej Skowron, Jacek J. Pietrzyk:
  Automatic Planning of Treatment of Infants with Respiratory Failure Through Rough Set Modeling. 418-427
  
• Ken Farion, Wojtek Michalowski, Szymon Wilk:
  Developing a Decision Model for Asthma Exacerbations: Combining Rough Sets and Expert-Driven Selection of Clinical Attributes. 428-437
  

Granular Computing

• Da-Wei Wang, Churn-Jung Liau, Tsan-sheng Hsu:
  A GrC-Based Approach to Social Network Data Protection. 438-447
  
• Jigui Sun, Huawen Liu, Changsong Qi, Huijie Zhang:
  An Interpretation of Flow Graphs by Granular Computing. 448-457
  
• Jun Hu, Guoyin Wang, Qinghua Zhang, Xianquan Liu:
  Attribute Reduction Based on Granular Computing. 458-466
  
• Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz:
  Methodological Identification of Information Granules-Based Fuzzy Systems by Means of Genetic Optimization. 467-476
  
• Jeoung-Nae Choi, Sung-Kwun Oh, Witold Pedrycz:
  Optimization of Information Granulation-Oriented Fuzzy Set Model Using Hierarchical Fair Competition-Based Parallel Genetic Algorithms. 477-486
  

Grey Systems

• GuoDong Li, Daisuke Yamaguchi, Hui-Shan Lin, Kun-Li Wen, Masatake Nagai:
  A Grey-Based Rough Set Approach to Suppliers Selection Problem. 487-496
  
• GuoDong Li, Daisuke Yamaguchi, Kun-Li Wen, Masatake Nagai:
  A Hybrid Grey-Based Dynamic Model for International Airlines Amount Increase Prediction. 497-506
  
• Daisuke Yamaguchi, GuoDong Li, Masatake Nagai:
  On the Combination of Rough Set Theory and Grey Theory Based on Grey Lattice Operations. 507-516
  

Ontology and Mereology

• Feng Jiang, Yuefei Sui, Cungen Cao:
  An Ontology-Based First-Order Modal Logic. 517-526
  
• Lipika Dey, Muhammad Abulaish:
  Enhancing a Biological Concept Ontology to Fuzzy Relational Ontology with Relations Mined from Text. 527-536
  
• Dai Tri Man Le, Ryszard Janicki:
  On a Parthood Specification Method for Component Software. 537-546
  
• Sinh Hoa Nguyen, Trung Thanh Nguyen, Hung Son Nguyen:
  Ontology Driven Concept Approximation. 547-556
  

Statistical Mathods

• Witold R. Rudnicki, Marcin Kierczak, Jacek Koronacki, Henryk Jan Komorowski:
  A Statistical Method for Determining Importance of Variables in an Information System. 557-566
  
• Shusaku Tsumoto, Shoji Hirano:
  Distribution of Determinants of Contingency Matrix. 567-576
  
• Shusaku Tsumoto, Shoji Hirano:
  Interpretation of Contingency Matrix Using Marginal Distributions. 577-586
  

Machine Learning

• Yiyu Yao, Yan Zhao, Jue Wang, Suqing Han:
  A Model of Machine Learning Based on User Preference of Attributes. 587-596
  
• Xinghua Fan, Difei Wan, Guoying Wang:
  Combining Bi-gram of Character and Word to Classify Two-Class Chinese Texts in Two Steps. 597-606
  
• Shian-Chang Huang, Tung-Kuang Wu:
  Combining Monte Carlo Filters with Support Vector Machines for Option Price Forecasting. 607-616
  
• Tuan Trung Nguyen:
  Domain Knowledge Assimilation by Learning Complex Concepts. 617-626
  
• Wojciech Jaworski:
  Learning Compound Decision Functions for Sequential Data in Dialog with Experts. 627-636
  
• Yujung Lee, Jaeho Kang, Byoungho Kang, Kwang Ryel Ryu:
  Sampling of Virtual Examples to Improve Classification Accuracy for Nominal Attribute Data. 637-646
  

Clustering

• Alberto Guillén, Ignacio Rojas, Jesús González, Héctor Pomares, Luis Javier Herrera, Alberto Prieto:
  A Fuzzy-Possibilistic Fuzzy Ruled Clustering Algorithm for RBFNNs Design. 647-656
  
• Georg Peters, Martin Lampart:
  A Partitive Rough Clustering Algorithm. 657-666
  
• Kyungmi Kim, HyunSook Kim, Kijun Han:
  A Zone-Based Method for Selecting Clusterheads in Wireless Sensor Networks. 667-676
  
• Noboru Takagi:
  An Agglomerative Hierarchical Clustering by Finding Adjacent Hyper-Rectangles. 677-686
  

Data Mining

• Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
  Evaluating Learning Models for a Rule Evaluation Support Method Based on Objective Indices. 687-695
  
• Ying Yin, Bin Zhang, Yuhai Zhao, Guoren Wang:
  Mining the Most Interesting Patterns from Multiple Phenotypes Medical Data. 696-705
  
• Shusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama:
  Risk Mining: Mining Nurses' Incident Factors and Application of Mining Results to Prevention of Incidents. 706-715
  
• Marek Sikora:
  Rule Quality Measures in Creation and Reduction of Data Rule Models. 716-725
  

Evolutionary Computing

• Chuleui Hong:
  A Distributed Hybrid Heuristics of Mean Field Annealing and Genetic Algorithm for Load Balancing Problem. 726-735
  
• Jun Sun, Wenbo Xu, Wei Fang:
  Enhancing Global Search Ability of Quantum-Behaved Particle Swarm Optimization by Maintaining Diversity of the Swarm. 736-745
  
• Qiao Zhang, Xu Xu, Yanchun Liang:
  Identification and Speed Control of Ultrasonic Motors Based on Modified Immune Algorithm and Elman Neural Networks. 746-756
  

Intelligent Information Systems

• Toly Chen, Yu-Cheng Lin:
  A Hybrid and Intelligent System for Predicting Lot Output Time in a Semiconductor Fabrication Factory. 757-766
  
• Pei-Chann Chang, Yen-Wen Wang, Chen-Hao Liu:
  Combining SOM and GA-CBR for Flow Time Prediction in Semiconductor Manufacturing Factory. 767-775
  
• Wenbin Li, Ning Zhong, Y. Y. Yao, Jiming Liu, Chunnian Liu:
  Developing Intelligent Applications in Social E-Mail Networks. 776-785
  
• Zbigniew Suraj, Piotr Grochowalski:
  Functional Extension of the RSDS System. 786-795
  
• Jong-Hun Kim, Kyung-Yong Jung, Jung-Hyun Lee:
  Hybrid Music Filtering for Recommendation Based Ubiquitous Computing Environment. 796-805
  

Pattern Recognition and Image Processing

• Yinghua Lu, Jialing Han, Jun Kong, Yulong Yang, Gang Hou:
  A Novel Color Image Watermarking Method Based on Genetic Algorithm and Hybrid Neural Networks. 806-814
  
• Yong Ho Hwang, Hyun-Ki Hong:
  Calibration of Omnidirectional Camera by Considering Inlier Distribution. 815-823
  
• Yun-Seok Lee, Seung-Hun Yoo, Chang-Sung Jeong:
  Modified Hough Transform for Images Containing Many Textured Regions. 824-833
  
• Thi Thi Zin, Sung Shik Koh, Hiromitsu Hama:
  Relative Color Polygons for Object Detection and Recognition. 834-843
  
• Young Sub Song, Hang Joon Kim:
  Rough Set Based Image Segmentation of Video Sequences. 844-851
  
• Ben Niu, Simon Chi-Keung Shiu, Sankar K. Pal:
  Two Dimensional Laplacianfaces Method for Face Recognition. 852-861
  
• Marcin Wojnarski:
  Unsupervised Learning of Image Recognition with Neural Society for Clustering. 862-871
  

Data Clustering: Algorithms and Applications (Organized Session)

• Shoji Hirano, Shusaku Tsumoto:
  A Framework for Unsupervised Selection of Indiscernibility Threshold in Rough Clustering. 872-881
  
• Sadaaki Miyamoto, Satoshi Hayakawa:
  A Fuzzy Neighborhood Model for Clustering, Classification, and Approximations. 882-890
  
• Shou Kuroda, Tomohiro Yoshikawa, Takeshi Furuhashi:
  A Proposal for Comparison of Impression Evaluation Data Among Individuals by Using Clustering Method Based on Distributed Structure of Data. 891-898
  
• Jordi Nin, Vicenç Torra:
  Extending Microaggregation Procedures for Time Series Protection. 899-908
  
• Sadaaki Miyamoto:
  Lattice-Valued Hierarchical Clustering for Analyzing Information Systems. 909-917
  
• Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu:
  Postsupervised Hard c-Means Classifier. 918-927
  
• Yoshifumi Kusunoki, Masahiro Inuiguchi:
  Rule Induction Via Clustering Decision Classes. 928-938
  
• Katsuhiro Honda, Hidetomo Ichihashi, Akira Notsu, Francesco Masulli, Stefano Rovetta:
  Several Formulations for Graded Possibilistic Approach to Fuzzy Clustering. 939-948