IFCIP: An integrated optimization method for planning filters in fluid power systems under uncertainty

An interval-fuzzy chance-constrained integer programming (IFCIP) method is developed for contamination control of a fluid power system (FPS) under uncertainty. The model is derived by incorporating the techniques of fuzzy and chance-constrained programming within a general interval-optimization framework. It can tackle uncertainties presented as both fuzzy members and discrete intervals. The developed method is applied to a case of a one-year …