Interactive Fuzzy Goal Programming ModelBased, on Differential Evolution for RegionalSustainability Development under Climate

摘要

In this paper, we present an interactive fuzzy non-linear goal program-ming (FNLGP) model to evaluate Regional sustainability development (RSD un-der climate change in agriculture sector.. A solution methodology of the FNLGPmodel is presented. A Differential Evolution (DE) algorithm with variable steplength is designed and implemented to optimize the resulting FNLGP. The pro-posed FNLGP model is more flexible than conventional goal programming and itis capable of evaluating RSD under different climate change scenarios. It providesdecision support tool to test different alternative policies based on the degree ofuncertainty. Introducing fuzzy terms in the model provides an assessment touncertainty associated with various climate change predictions and informationambiguity.