FUZZ-IEEE 2009: Jeju Island, Korea

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