Nottingham Trent University
System modeling based on conventional mathematical tools like differential equations is not well suited for dealing with ill-defined and uncertain systems. By contrast, a fuzzy inference system, employing fuzzy if - then rules can model the qualitative aspects of human knowledge and reasoning processes without employing precise quantitative analyses. This fuzzy modeling or fuzzy identification explored by Takagi and Sugeno, has found numerous practical applications in control, prediction and inference. However, there are some basic aspects of this approach which are in need of better understanding. More specifically, no standard methods exist for optimally transforming human knowledge or experience into the rule base and database of a fuzzy inference system.