10. RSFDGrC 2005: Regina, Canada

Invited Papers

• Zdzislaw Pawlak:
  Rough Sets and Flow Graphs. 1-11
  
• Dimiter Vakarelov:
  A Modal Characterization of Indiscernibility and Similarity Relations in Pawlak's Information Systems. 12-22
  
• Witold Pedrycz:
  Granular Computing with Shadowed Sets. 23-32
  

Rough Set Approximations

• Andrzej Skowron, Roman W. Swiniarski:
  Rough Sets and Higher Order Vagueness. 33-42
  
• Ming-Wen Shao, Wen-Xiu Zhang:
  Approximation in Formal Concept Analysis. 43-53
  
• Krzysztof Dembczynski, Salvatore Greco, Roman Slowinski:
  Second-Order Rough Approximations in Multi-criteria Classification with Imprecise Evaluations and Assignments. 54-63
  
• A. A. Allam, M. Y. Bakeir, E. A. Abo-Tabl:
  New Approach for Basic Rough Set Concepts. 64-73
  
• Jian-Jun Qi, Ling Wei, Zeng-zhi Li:
  A Partitional View of Concept Lattice. 74-83
  
• Guofang Qiu, Wen-Xiu Zhang, Wei-Zhi Wu:
  Characterizations of Attributes in Generalized Approximation Representation Spaces. 84-93
  

Rough-Algebraic Foundations

• Peter Apostoli, Akira Kanda:
  Proximity Spaces of Exact Sets. 94-103
  
• Duoqian Miao, Suqing Han, Daoguo Li, Lijun Sun:
  Rough Group, Rough Subgroup and Their Properties. 104-113
  
• Piotr Wasilewski:
  Concept Lattices vs. Approximation Spaces. 114-123
  
• Gui-Long Liu:
  Rough Sets over the Boolean Algebras. 124-131
  
• Michiro Kondo:
  Algebraic Approach to Generalized Rough Sets. 132-140
  
• Jianhua Dai:
  Logic for Rough Sets with Rough Double Stone Algebraic Semantics. 141-148
  

Feature Selection and Reduction

• Mikhail Ju. Moshkov, Marcin Piliszczuk:
  On Partial Tests and Partial Reducts for Decision Tables. 149-155
  
• Suqing Han, Jue Wang:
  The Second Attribute. 156-165
  
• Jakub Wroblewski:
  Pairwise Cores in Information Systems. 166-175
  
• Gaëlle Legrand, Nicolas Nicoloyannis:
  Data Preprocessing and Kappa Coefficient. 176-184
  
• Feng Hu, Guoyin Wang, Hai Huang, Yu Wu:
  Incremental Attribute Reduction Based on Elementary Sets. 185-193
  
• Richard Jensen, Qiang Shen, Andrew Tuson:
  Finding Rough Set Reducts with SAT. 194-203
  
• Jingtao Yao, Ming Zhang:
  Feature Selection with Adjustable Criteria. 204-213
  
• Jianchao Han, Ricardo Sanchez, Xiaohua Hu:
  Feature Selection Based on Relative Attribute Dependency: An Experimental Study. 214-223
  

Reasoning in Information Systems

• Zbigniew Suraj, Krzysztof Pancerz, Grzegorz Owsiany:
  On Consistent and Partially Consistent Extensions of Information Systems. 224-233
  
• Mineichi Kudo, Tetsuya Murai:
  A New Treatment and Viewpoint of Information Tables. 234-243
  
• Jerzy W. Grzymala-Busse:
  Incomplete Data and Generalization of Indiscernibility Relation, Definability, and Approximations. 244-253
  
• Hiroshi Sakai, Michinori Nakata:
  Discernibility Functions and Minimal Rules in Non-deterministic Information Systems. 254-264
  
• R. S. Milton, V. Uma Maheswari, Arul Siromoney:
  Studies on Rough Sets in Multiple Tables. 265-274
  
• Theresa Beaubouef, Frederick E. Petry, Roy Ladner:
  Normalization in a Rough Relational Database. 275-282
  

Rough-Probabilistic Approaches

• Wojciech Ziarko:
  Probabilistic Rough Sets. 283-293
  
• Tatsuo Nishino, Mitsuo Nagamachi, Hideo Tanaka:
  Variable Precision Bayesian Rough Set Model and Its Application to Human Evaluation Data. 294-303
  
• Masahiro Inuiguchi, Takuya Miyajima:
  Variable Precision Rough Set Approach to Multiple Decision Tables. 304-313
  
• Salvatore Greco, Benedetto Matarazzo, Roman Slowinski:
  Rough Membership and Bayesian Confirmation Measures for Parameterized Rough Sets. 314-324
  
• Michinori Nakata, Hiroshi Sakai:
  Rough Sets Handling Missing Values Probabilistically Interpreted. 325-334
  
• Cory J. Butz, Wen Yan, Boting Yang:
  The Computational Complexity of Inference Using Rough Set Flow Graphs. 335-344
  

Rough-Fuzzy Hybridization

• Wei-Zhi Wu:
  Upper and Lower Probabilities of Fuzzy Events Induced by a Fuzzy Set-Valued Mapping. 345-353
  
• Alicja Mieszkowicz-Rolka, Leszek Rolka:
  Variable Precision Fuzzy Rough Sets Model in the Analysis of Process Data. 354-363
  
• Hong Tian, Zhao Pixi, Xiukun Wang:
  CRST: A Generalization of Rough Set Theory. 364-372
  
• Van-Nam Huynh, Tetsuya Murai, Tu Bao Ho, Yoshiteru Nakamori:
  An Extension of Rough Approximation Quality to Fuzzy Classification. 373-382
  
• Marek Sikora:
  Fuzzy Rules Generation Method for Classification Problems Using Rough Sets and Genetic Algorithms. 383-391
  
• Hongbo Guo, Fang Wang, Yuxia Qiu:
  Multilayer FLC Design Based on RST. 392-401
  

Fuzzy Methods in Data Analysis

• Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Mohammed Awad, Jesús González:
  Interpretable Rule Extraction and Function Approximation from Numerical Input/Output Data Using the Modified Fuzzy TSK Model, TaSe Model. 402-411
  
• Jie Li, Xinbo Gao, Licheng Jiao:
  A New Feature Weighted Fuzzy Clustering Algorithm. 412-420
  
• Andrés Dorado, Witold Pedrycz, Ebroul Izquierdo:
  User-Driven Fuzzy Clustering: On the Road to Semantic Classification. 421-430
  

Evolutionary Computing

• Gang Xie, Hongbo Guo, Keming Xie, Wenjing Zhao:
  Research on Clone Mind Evolution Algorithm. 431-440
  
• Reza Rastegar, Mohammad Reza Meybodi:
  A Study on the Global Convergence Time Complexity of Estimation of Distribution Algorithms. 441-450
  
• Xiangyang Wang, Jie Yang, Ningsong Peng, Xiaolong Teng:
  Finding Minimal Rough Set Reducts with Particle Swarm Optimization. 451-460
  
• Gaowei Yan, Gang Xie, Yuxia Qiu, Zehua Chen:
  MEA Based Nonlinearity Correction Algorithm for the VCO of LFMCW Radar Level Gauge. 461-470
  

Machine Learning

• Shusaku Tsumoto, Shoji Hirano:
  On Degree of Dependence Based on Contingency Matrix. 471-480
  
• Wojciech Jaworski:
  Model Selection and Assessment for Classification Using Validation. 481-490
  
• Yuan Jiang, Jinjiang Ling, Gang Li, Honghua Dai, Zhi-Hua Zhou:
  Dependency Bagging. 491-500
  
• Arkadiusz Wojna:
  Combination of Metric-Based and Rule-Based Classification. 501-511
  
• Cuong Anh Le, Van-Nam Huynh, Hieu-Chi Dam, Akira Shimazu:
  Combining Classifiers Based on OWA Operators with an Application to Word Sense Disambiguation. 512-521
  
• Zbigniew M. Wójcik:
  System Health Prognostic Model Using Rough Sets. 522-531
  

Approximate and Uncertain Reasoning

• Marina Sapir, David Verbel, Angeliki Kotsianti, Olivier Saidi:
  Live Logic^TM: Method for Approximate Knowledge Discovery and Decision Making. 532-540
  
• Patrick Doherty, Witold Lukaszewicz, Andrzej Szalas:
  Similarity, Approximations and Vagueness. 541-550
  
• Eugene Eberbach:
  Decision Theory = Performance Measure Theory + Uncertainty Theory. 551-560
  

Probabilistic Network Models

• Cungen Cao, Yuefei Sui, Youming Xia:
  The Graph-Theoretical Properties of Partitions and Information Entropy. 561-570
  
• Jae-Hyuck Lee:
  A Comparative Evaluation of Rough Sets and Probabilistic Network Algorithms on Learning Pseudo-independent Domains. 571-580
  
• Dan Wu, Cory J. Butz:
  On the Complexity of Probabilistic Inference in Singly Connected Bayesian Networks. 581-590
  

Spatial and Temporal Reasoning

• Chunping Li:
  Representing the Process Semantics in the Situation Calculus. 591-600
  
• Haibin Sun, Wenhui Li:
  Modeling and Refining Directional Relations Based on Fuzzy Mathematical Morphology. 601-611
  
• Shoji Hirano, Shusaku Tsumoto:
  A Clustering Method for Spatio-temporal Data and Its Application to Soccer Game Records. 612-621
  
• Andrzej Skowron, Piotr Synak:
  Hierarchical Information Maps. 622-631
  

Non-standard Logics

• Churn-Jung Liau:
  Ordered Belief Fusion in Possibilistic Logic. 632-641
  
• Zaiyue Zhang, Yuefei Sui, Cungen Cao:
  Description of Fuzzy First-Order Modal Logic Based on Constant Domain Semantics. 642-650
  
• Tuan-Fang Fan, Duen-Ren Liu, Gwo-Hshiung Tzeng:
  Arrow Decision Logic. 651-659
  
• Piero Pagliani:
  Transforming Information Systems. 660-670
  
• Kazumi Nakamatsu, Sheng-Luen Chung, Hayato Komaba, Atsuyuki Suzuki:
  A Discrete Event Control Based on EVALPSN Stable Model Computation. 671-681
  

Granular Computing

• Zheng Zheng, Hong Hu, Zhongzhi Shi:
  Tolerance Relation Based Granular Space. 682-691
  
• Yuji Muto, Mineichi Kudo:
  Discernibility-Based Variable Granularity and Kansei Representations. 692-700
  
• Jiye Liang, Yuhua Qian, Chengyuan Chu, Deyu Li, Junhong Wang:
  Rough Set Approximation Based on Dynamic Granulation. 701-708
  
• Qing Liu, QianYing Wang:
  Granular Logic with Closeness Relation "~lambda" and Its Reasoning. 709-717
  
• Jaroslaw Stepaniuk, Andrzej Skowron:
  Ontological Framework for Approximation. 718-727
  
• I-Jen Chiang, Tsau Young Lin, Yong Liu:
  Table Representations of Granulations Revisited. 728-737
  

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