Design of rule-based models through information granulation
Exploration of Fuzzy Rule generation using hierarchical clustering Development of granular rule conclusions with real valued intervals Definition of performance metrics for granular models for the assessment of model performance Demonstration of the effectiveness of granular rule conclusions for modeling of real world data Comparison of hierarchical methods to Fuzzy C-Means when generating rule based models
information granulation fuzzy rules hierarchical clustering fuzzy model fuzzy c-means (fcm)