A simple fuzzy rule-based system through vector membership and kernel-based granulation

2010 IEEE International Conference on Intelligent Systems, IS 2010 - Proceedings

Volumn , Issue , 2010, Pages 349-354

  Angelov, Plamen ^a   Yager, Ronald ^b  

^a LANCASTER UNIVERSITY   (United Kingdom)

^b MACHINE INTELLIGENCE INSTITUTE   (United States)

Author keywords

Fuzzy rule based systems; Granulation; Kernel based representation; Memebership functions; Zadeh Mamdani and Takagi Sugeno fuzzy systems

Indexed keywords

COMPLEX SYSTEMS; DATA DISTRIBUTION; DECISION SUPPORTS; FUZZY RULE-BASED SYSTEMS; GAUSSIANS; HUMAN REASONING; KERNEL-BASED REPRESENTATION; MAMDANI; MATHEMATICAL DESCRIPTIONS; MEMEBERSHIP FUNCTIONS; MIXTURE OF GAUSSIANS; NON-PARAMETRIC; PARAMETRIC REPRESENTATIONS; PARTICLE FILTER; PROBABILISTIC MODELS; SPATIAL DISTRIBUTION; SYSTEM MODELLING; TAKAGI-SUGENO; TIME SERIES PREDICTION;

DECISION SUPPORT SYSTEMS; DECISION THEORY; FEEDBACK CONTROL; FUZZY RULES; FUZZY SETS; FUZZY SYSTEMS; GRANULATION; IMAGE SEGMENTATION; INTELLIGENT SYSTEMS; PROBABILITY DISTRIBUTIONS;

MEMBERSHIP FUNCTIONS;

EID: 77957852211     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IS.2010.5548369     Document Type: Conference Paper

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