Application of a Reduced Order Model for Fuzzy Analysis of Linear Static Systems

This contribution proposes a strategy for performing fuzzy analysis of linear static systems applying alpha-level optimization. In order to decrease numerical costs, full system analyses are replaced by a reduced order model that projects the equilibrium