An updated two-step method for solving interval linear programming: A case study of the air quality management problem

摘要: Many real-world problems occur under uncertainty. In this paper, we consider interval linear programming (ILP) which can be used to tackle un certainties. Several methods have been proposed by researchers, such as the best and worst cases, Two-step method (TSM), improved TSM, ILP, three-step method, robust two-step method. First, define feasibility optimality conditions in ILP models review some solving shortly, then show that solutions of TSM are not feasible. Therefore, propose an updated (namely, UTSM) considering conditions. UTSM was applied identify reduction aerosols using two controllers with a minimized cost demonstrate its application Compared other methods, obtained through were presented interval, provide intervals for decision variables, objective function, decision-makers. decision-makers make based on solutionsthrough desired plans aerosol-emission control