A Fuzzy Goal Programming Approach for Solid Waste Management Under Multiple Uncertainties

In this study a fuzzy chance constrained programming approach is developed for municipal solid waste management to minimize the net system cost and maximize the revenue generated from different treatment facilities. Most of the parameters involved with this model are imprecisely defined and probabilistically uncertain. A fuzzy chance programming model is developed to minimize the net system cost of sorting and transporting the wastes and to maximize the revenue generated from different treatment facilities. To resolve the cases arising due to the multiple occurrences of fuzzy goals, a fuzzy goal programming has been adopted. To expound the potential use of the approach, modified version of a case example, studied previously, has been considered and solved. The achieved model solution is compared with the existing technique for waste management, studied earlier.