FUZZ-IEEE 2009: Jeju Island, Korea

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A01: Adaptive, Hierarchical, Evolutionary, Neural and Nature-Inspired Systems I

A02: Adaptive, Hierarchical, Evolutionary, Neural and Nature-Inspired Systems II

B01: Hybrid Systems of Computational Intelligence Techniques I

B02: Hybrid Systems of Computational Intelligence Techniques II

CD: Fuzzy Systems and Internet Applications / Kansei, Human-Machine Interface, Brain-Machine Interface

E01: Fuzzy Image, Speech and Signal Processing, Vision andMultimedia I

E02: Fuzzy Image, Speech and Signal Processing, Vision andMultimedia II

F: Industrial, Financial, and Medical Applications

G01: Fuzzy Control and Robotics, Sensors, Fuzzy Hardware, Fuzzy Architectures I

G02: Fuzzy Control and Robotics, Sensors, Fuzzy Hardware, Fuzzy Architectures II

H: Fuzzy Optimization and Design, Decision Analysis and Support

I01: Fuzzy Systems Design, Modeling, Identification, Fault Detection I

I02: Fuzzy Systems Design, Modeling, Identificatio n, Fault Detection II

J01: Fuzzy Data Analysis - Clustering and Classifiers, Pattern Recognition, Bio-Informatics I

J02: Fuzzy Data Analysis - Clustering and Classifiers, Pattern Recognition, Bio-Informatics II

J03: Fuzzy Data Analysis - Clustering and Classifiers, Pattern Recognition, Bio-Informatics III

J04: Fuzzy Data Analysis - Clustering and Classifiers, Pattern Recognition, Bio-Informatics IV

K: Fuzzy Information Processing - Information Extraction and Retrieval, Fusion, Text Mining

L: Knowledge Discovery, Learning, Reasoning, Agents, Knowledge Representation

N01: Fuzzy Set Theory, Fuzzy Measures, Fuzzy Integrals I

N02: Fuzzy Set Theory, Fuzzy Measures, Fuzzy Integrals II

O: Rough Sets, Grey Systems

P: Optimization, Decision Analysis, Decision Making, Multi-Criteria Decision Making

Q: Software and Hardware Applications

R: Fuzzy Competition

SS0102A: Practical Aspects and Applications of Type 2 Fuzzy Systems / Type-2 Fuzzy Logic Theory I

SS0102B: Practical Aspects and Applications of Type 2 Fuzzy Systems / Type-2 Fuzzy Logic Theory II

SS03: Intelligent Agents

SS04A: Advances in Fuzzy Control Using Takagi-Sugeno Fuzzy Models I

SS04B: Advances in Fuzzy Control Using Takagi-Sugeno Fuzzy Models II

SS05: Recent Development of Fuzzy Probabilistic Inference Systems with 3-Dimensional Fuzzy Sets

SS06: Fuzzy Robotics

SS07: Fuzzy Logic in Medical Sciences

SS08A: Human Symbiotic System I

SS08B: Human Symbiotic System II

SS09: Prospects for the Finland-Korea Cooperation in the Human Sciences and Technology

SS10: Fuzzy Systems in Bioinformatics

SS11: Brain and Perception

SS12: Fuzzy Approaches For Ontology Applications and Adaptive Web Services

SS13: Theory and Applications of Fuzzy Signatures

SS14: Recent Algorithms in Clustering

SS15: Fuzzy Methods for Data Mining and Knowledge Discovery

SS16: Fuzzy Inference Systems - Theory and Applications

SS17A: Hybrid Learning in Fuzzy Control I

SS17B: Hybrid Learning in Fuzzy Control II

SS18A: Fuzzy System and Control I

SS18B: Fuzzy System and Control II

SS19: Applications of Fuzzy Systems to Benefit Society

SS20: Soft Computing in Image Processing

SS21: Atanassov's Intuitionistic Fuzzy Sets: Recent Advances

SS22A: New Perspective of Fuzzy Approaches to Management Engineering I

SS22B: New Perspective of Fuzzy Approaches to Management Engineering II

SS23: Interactive Human-Space Design and Intelligence

SS24: Soft Computing: New Trends, Advances, and Applications

SS25: Agent-Based Community Simulation and Soft Computing

SS26: Fusion of Information System and Human Kansei, Emotion, and Biological Information

SS27: Application of Fuzzy Logic to Intelligent Transportation Systems

SS28: Lattice and Poset Valued Fuzzy Structures - Theory and Applications

SS29A: Evolutionary Fuzzy Systems I

SS29B: Evolutionary Fuzzy Systems II

Poster Session

a service of  Schloss Dagstuhl - Leibniz Center for Informatics