IFTSIP: interval fuzzy two-stage stochastic mixed-integer linear programming: a case study for environmental management and planning

In this study, an interval fuzzy two-stage stochastic mixed-integer linear programming (IFTSIP) method is developed for planning waste-management systems under uncertainty. As a new extension of mathematical programming methods, the developed IFTSIP approach has advantages in uncertainty reflection, policy analysis and capacity expansion. Methods of two-stage stochastic programming and interval fuzzy linear programming are introduced to a …