Fuzzy systems with recurrent rules in population and medical models
Horia-Nicolai Teodorescu · 2008
Decision and recognition / classification processes are complex processes, involving rational, emotional, social, and cultural factors. The modeling of a decision process by simple IF-Then fuzzy logic rules is oversimplifying. We propose a new type of fuzzy logic rules that improve the modeling of the decision process by mimicking the human iterative process of decision-making. Then, we investigate the analytical aspects of systems based on such rules. We present applications in population and medical models; moreover, we discuss implementations on GRID distributed systems for such models.