Recurent Rules-Based Fuzzy Decision-Making and Control

Abstract – Many engineering problems involve decision-making and control processes. These are complex processes, entrangling rational, emotional, social and cultural factors. Including intelligence in mechanical systems and devices may require the inclusion of decision-making abilities. The development of decision-making and control capabilities similar to those of the humans by classical 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. Based on such rules, a new class of fuzzy control systems is introduced. We investigate the analytical aspects of systems based on such rules. Applications are envisaged. Key-Words: control theory, decision-making, fuzzy system, recurrent rules 1