Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing: 10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 3, ... I (Lecture Notes in Computer Science, 3641)

✍ Scribed by Dominik Slezak (editor), Marcin Szczuka (editor), Ivo Duentsch (editor), Yiyu Yao (editor)

• Publisher: Springer
• Year: 2005
• Tongue: English
• Leaves: 764
• Category: Library

✦ Synopsis

This volume contains the papers selected for presentation at the 10th Int- national Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005, organized at the University of Regina, August 31st–September 3rd, 2005. This conference followed in the footsteps of inter- tional events devoted to the subject of rough sets, held so far in Canada, China, Japan,Poland,Sweden, and the USA. RSFDGrC achievedthe status of biennial international conference, starting from 2003 in Chongqing, China. The theory of rough sets, proposed by Zdzis law Pawlak in 1982, is a model of approximate reasoning. The main idea is based on indiscernibility relations that describe indistinguishability of objects. Concepts are represented by - proximations. In applications, rough set methodology focuses on approximate representation of knowledge derivable from data. It leads to signi?cant results in many areas such as ?nance, industry, multimedia, and medicine. The RSFDGrC conferences put an emphasis on connections between rough sets and fuzzy sets, granularcomputing, and knowledge discoveryand data m- ing, both at the level of theoretical foundations and real-life applications. In the case of this event, additional e?ort was made to establish a linkage towards a broader range of applications. We achieved it by including in the conference program the workshops on bioinformatics, security engineering, and embedded systems, as well as tutorials and sessions related to other application areas.

✦ Table of Contents

Frontmatter
Invited Papers
Rough Sets and Flow Graphs
A Modal Characterization of Indiscernibility and Similarity Relations in Pawlak's Information Systems
Granular Computing with Shadowed Sets
Rough Set Approximations
Rough Sets and Higher Order Vagueness
Approximation in Formal Concept Analysis
Second-Order Rough Approximations in Multi-criteria Classification with Imprecise Evaluations and Assignments
New Approach for Basic Rough Set Concepts
A Partitional View of Concept Lattice
Characterizations of Attributes in Generalized Approximation Representation Spaces
Rough-Algebraic Foundations
Proximity Spaces of Exact Sets
Rough Group, Rough Subgroup and Their Properties
Concept Lattices vs.~Approximation Spaces
Rough Sets over the Boolean Algebras
Algebraic Approach to Generalized Rough Sets
Logic for Rough Sets with Rough Double Stone Algebraic Semantics
Feature Selection and Reduction
On Partial Tests and Partial Reducts for Decision Tables
The Second Attribute
Pairwise Cores in Information Systems
Data Preprocessing and Kappa Coefficient
Incremental Attribute Reduction Based on Elementary Sets
Finding Rough Set Reducts with SAT
Feature Selection with Adjustable Criteria
Feature Selection Based on Relative Attribute Dependency: An Experimental Study
Reasoning in Information Systems
On Consistent and Partially Consistent Extensions of Information Systems
A New Treatment and Viewpoint of Information Tables
Incomplete Data and Generalization of Indiscernibility Relation, Definability, and Approximations
Discernibility Functions and Minimal Rules in Non-deterministic Information Systems
Studies on Rough Sets in Multiple Tables
Normalization in a Rough Relational Database
Rough-Probabilistic Approaches
Probabilistic Rough Sets
Variable Precision Bayesian Rough Set Model and Its Application to Human Evaluation Data
Variable Precision Rough Set Approach to Multiple Decision Tables
Rough Membership and Bayesian Confirmation Measures for Parameterized Rough Sets
Rough Sets Handling Missing Values Probabilistically Interpreted
The Computational Complexity of Inference Using Rough Set Flow Graphs
Rough-Fuzzy Hybridization
Upper and Lower Probabilities of Fuzzy Events Induced by a Fuzzy Set-Valued Mapping
Variable Precision Fuzzy Rough Sets Model in the Analysis of Process Data
CRST: A Generalization of Rough Set Theory
An Extension of Rough Approximation Quality to Fuzzy Classification
Fuzzy Rules Generation Method for Classification Problems Using Rough Sets and Genetic Algorithms
Multilayer FLC Design Based on RST
Fuzzy Methods in Data Analysis
Interpretable Rule Extraction and Function Approximation from Numerical Input/Output Data Using the Modified Fuzzy TSK Model, TaSe Model
A New Feature Weighted Fuzzy Clustering Algorithm
User-Driven Fuzzy Clustering: On the Road to Semantic Classification
Evolutionary Computing
Research on Clone Mind Evolution Algorithm
A Study on the Global Convergence Time Complexity of Estimation of Distribution Algorithms
Finding Minimal Rough Set Reducts with Particle Swarm Optimization
MEA Based Nonlinearity Correction Algorithm for the VCO of LFMCW Radar Level Gauge
Machine Learning
On Degree of Dependence Based on Contingency Matrix
Model Selection and Assessment for Classification Using Validation
Dependency Bagging
Combination of Metric-Based and Rule-Based Classification
Combining Classifiers Based on OWA Operators with an Application to Word Sense Disambiguation
System Health Prognostic Model Using Rough Sets
Approximate and Uncertain Reasoning
Live Logic{\itshape TM}: Method for Approximate Knowledge Discovery and Decision Making
Similarity, Approximations and Vagueness
Decision Theory = Performance Measure Theory + Uncertainty Theory
Probabilistic Network Models
The Graph-Theoretical Properties of Partitions and Information Entropy
A Comparative Evaluation of Rough Sets and Probabilistic Network Algorithms on Learning Pseudo-independent Domains
On the Complexity of Probabilistic Inference in Singly Connected Bayesian Networks
Spatial and Temporal Reasoning
Representing the Process Semantics in the Situation Calculus
Modeling and Refining Directional Relations Based on Fuzzy Mathematical Morphology
A Clustering Method for Spatio-temporal Data and Its Application to Soccer Game Records
Hierarchical Information Maps
Non-standard Logics
Ordered Belief Fusion in Possibilistic Logic
Description of Fuzzy First-Order Modal Logic Based on Constant Domain Semantics
Arrow Decision Logic
Transforming Information Systems
A Discrete Event Control Based on EVALPSN Stable Model Computation
Granular Computing
Tolerance Relation Based Granular Space
Discernibility-Based Variable Granularity and Kansei Representations
Rough Set Approximation Based on Dynamic Granulation
Granular Logic with Closeness Relation $``\sim_{\lambda}"$ and Its Reasoning
Ontological Framework for Approximation
Table Representations of Granulations Revisited
Backmatter