Modeling for Environmental-Economic Management Systems under Uncertainty

In this study, an interval-fuzzy multiobjective programming (IFMOP) model is developed for supporting planning of environmental and economic management activities of chemical industry district in Tianjin, China. In the IFMOP model, both interval-parameter programming (IPP) and fuzzy programming (FP) methods are introduced into a multiobjective programming framework. The modeling approach inherits advantages of IPP and FP, and allows uncertainties and decision-makers’ aspirations to be directly communicated into the optimization process and resulting solutions. The developed model can help tackle dynamic, uncertain and multiobjective characteristics of the water environmental and economic management system in the chemical industry district, and can address issues concerning plans for cost-effective industrial production.