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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing 10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 3, 2005, Proceedings, Part I /

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- tio...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Slezak, Dominik (Editor ), Szczuka, Marcin (Editor ), Duentsch, Ivo (Editor ), Yao, Yiyu (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Colección:Lecture Notes in Artificial Intelligence, 3641
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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 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 and Its Reasoning
  • Ontological Framework for Approximation
  • Table Representations of Granulations Revisited.