Interval-parameter chance-constrained fuzzy multi-objective programming for water pollution control with sustainable wetland management

Water pollution control plays a significant role in the water quality management of wetland ecosystems. In this study, an interval-parameter chance-constrained fuzzy multi-objective programming (ICFMOP) model for assisting water pollution control within a sustainable wetland management system under uncertainty was developed. The proposed ICFMOP approach not only effectively handled the uncertainties and complexities in the water pollution control management systems, it also allowed decision makers to adjust the fuzzy objective control decision variable to satisfy multiple holistic and interactive objectives. The ICFMOP model developed was then applied to a wetland water pollution control case study to assist the planning of regional wetland eco-environmental sustainability. Interval solutions of the compromise decision alternatives associated with different risk levels of constraint violations were obtained. The results were helpful for decision makers to identify desirable strategies under various social-economic, environmental and system-reliability constraints with the highest system benefits and the lowest water pollutant discharge and eco-environment impact. Moreover, tradeoffs between the multiple objectives and the constraint-violation risks could be evaluated.