Fuzzy Rule Predictor

The first port contains the Fuzzy Rule Model that is applied to the test data contained in the second input port. The output data has then one additional column containing the predicted class attribute which is the best match for all rules.

Input ports

1. Type: Fuzzy Basis Function
   Fuzzy rule model
   Fuzzy Rule Model to which test data is applied.
2. Type: Table
   Test data
   Test data matching the Fuzzy Rule Model structure.

Output ports

1. Type: Table
   Predicted data
   Predicted data with one additional classification column.