Fuzzy Optimization Method Based on Dynamic Uncertainty Restriction

Fuzzy optimization is a well-known optimization problem in artificial intelligence, manufacturing and management, establishing general and operable fuzzy optimization methods are important in both theory and application. In this paper, by analyzing the essential characteristic of uncertain optimization, based on the idea of dynamic uncertainty criteria, we establish a fuzzy optimization model based on dynamic uncertainty restriction; then we give a solution method based on principal operation and dynamic uncertainty restriction (denoted by BPUO-FGA, for short), by combining with genetic algorithm; finally, we analyze the performance of BPUO-FGA by Markov chain theory and an example.