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Semantic Scholar10. RSFDGrC 2005: Regina, Canada
Dominik Slezak, Guoyin Wang, Marcin S. Szczuka, Ivo Düntsch, Yiyu Yao:
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 3, 2005, Proceedings, Part I. Lecture Notes in Computer Science 3641, Springer 2005, ISBN 3-540-28653-5
Invited Papers
- Dimiter Vakarelov:
A Modal Characterization of Indiscernibility and Similarity Relations in Pawlak's Information Systems. 12-22
Rough Set Approximations
- Krzysztof Dembczynski, Salvatore Greco, Roman Slowinski:
Second-Order Rough Approximations in Multi-criteria Classification with Imprecise Evaluations and Assignments. 54-63 - Guofang Qiu, Wen-Xiu Zhang, Wei-Zhi Wu:
Characterizations of Attributes in Generalized Approximation Representation Spaces. 84-93
Rough-Algebraic Foundations
- Duoqian Miao, Suqing Han, Daoguo Li, Lijun Sun:
Rough Group, Rough Subgroup and Their Properties. 104-113
Feature Selection and Reduction
- Mikhail Ju. Moshkov, Marcin Piliszczuk:
On Partial Tests and Partial Reducts for Decision Tables. 149-155 - Feng Hu, Guoyin Wang, Hai Huang, Yu Wu:
Incremental Attribute Reduction Based on Elementary Sets. 185-193 - 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 - 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 - Theresa Beaubouef, Frederick E. Petry, Roy Ladner:
Normalization in a Rough Relational Database. 275-282
Rough-Probabilistic Approaches
- 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 - 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
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 - Andrés Dorado, Witold Pedrycz, Ebroul Izquierdo:
User-Driven Fuzzy Clustering: On the Road to Semantic Classification. 421-430
Evolutionary Computing
- 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
- 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
Approximate and Uncertain Reasoning
- Marina Sapir, David Verbel, Angeliki Kotsianti, Olivier Saidi:
Live LogicTM: Method for Approximate Knowledge Discovery and Decision Making. 532-540 - Patrick Doherty, Witold Lukaszewicz, Andrzej Szalas:
Similarity, Approximations and Vagueness. 541-550
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
- 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
Non-standard Logics
- Zaiyue Zhang, Yuefei Sui, Cungen Cao:
Description of Fuzzy First-Order Modal Logic Based on Constant Domain Semantics. 642-650 - Kazumi Nakamatsu, Sheng-Luen Chung, Hayato Komaba, Atsuyuki Suzuki:
A Discrete Event Control Based on EVALPSN Stable Model Computation. 671-681
Granular Computing
- 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
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