Optimizing the industrial structure of a watershed in association with economic-environmental consideration: an inexact fuzzy multi-objective programming model

摘要

An inexact fuzzy multi-objective programming model (IFMOP) is developed in this study for dealing wit industrial structure optimization problems under uncertainty. The IFMOP model is formulated based o integration of an inexact linear programming (ILP), fuzzy flexible optimization (FFO), and multi-objectiv programming (MOP). It improves upon the existing industrial structure optimization model wit advantages in uncertainty reflection, model coupling, data availability and computational requiremen The model can deal with uncertainties expressed as discrete intervals and fuzzy sets. Therefore, it ca effectively reflect dynamic, interactive complex, and uncertain characteristics of industrial syster without unrealistic simplification. Moreover, the model can be used for supporting temporal and spati. optimization of industrial structure under a variety of environmental and socio-economic conditions. Th developed model is first applied to a real case of planning industrial structure of South Four Lak watershed in Shandong province, China. Results demonstrated that the model could help decisio makers generate stable and balanced industrial structure patterns, gain in-depth insights into effects ( the uncertainties, and analyze trade-offs among economical objective, environmental protection an social demand.