Writing a fuzzy knowledge base
Germano Lambert‐Torres, B. Valiquette, H. Greiss, Dinkar Mukhedkar · 2002
An alternative mathematical tool for deriving a data model is presented. The model is represented by fuzzy conditional statements, where the premise has a fuzzy meaning and the consequence is a straight line. An algorithm for calculating the parameters of these statements is proposed. The inference method used is presented. These models can be used in many studies and in control processes. Illustrative examples using real world data are presented.>