Under the given system weight constraint, we consider the problem of maximizing the system lifetime and minimizing the system cost. The lifetimes of components in the system are characterized by type-2 fuzzy variables. The numbers of redundant elements of each components are the decision variables. We use the reduction methods to reduce the type-2 fuzzy lifetimes. Then, we propose a goal programming model for this system. We suggest an approximation approach (AA) to the reliability and design an AA-based particle swarm optimization (PSO) algorithm to solve the fuzzy model.
['Yanju Chen', 'Ying Liu']
Standby redundancy optimization with type-2 fuzzy lifetimes