基于线性规划与熵权TOPSIS法的农林牧渔结构最优化模型研究——以山东省为例

Optimization Model of Agriculture, Forestry, Husbandry and Fishery Structure Based on Linear Programming and Entropy Weight TOPSIS Method—Taking Shandong Province as an Example

为了用定量的方法确定综合经济效益、生态效益与社会效益的山东省农林牧渔结构最优化方案,本文选用合适的预测模型给出山东省粮食产量、农业用水量、农业总产值数据化预测结果,用于建立约束条件,利用线性规划分别得到粮主型、养殖型、综合型三种农林牧渔结构类型的经济效益最优模型,最后运用熵权模型改进多准则层TOPSIS法从经济效益、生态效益、社会效益3个维度构建山东省农林牧渔结构评价指标体系,进而提出山东省农林牧渔结构最优化实践方案。

In order to determine the optimal scheme of agriculture, forestry, animal husbandry and fishery structure in Shandong province by quantitative method, in this paper, a suitable forecasting model is selected to give the data forecasting results of grain output, agricultural water consumption and agricultural gross output value in Shandong Province, which are used to establish constraint conditions. The optimal economic benefit models of three types of agricultural, forestry, animal husbandry and fishery structure types, namely grain main type, aquaculture type and comprehensive type, are obtained by linear programming. Finally, entropy weight model was used to improve the multi-criterion layer TOPSIS method to construct the evaluation index system of agriculture, forestry, animal husbandry and fishery structure in Shandong Province from the three dimensions of economic benefit, ecological benefit and social benefit, and then put forward the optimal practice scheme of agriculture, forestry, animal husbandry and fishery structure in Shandong Province.