随机规划模型设计饲料配方及其结果的模糊综合评判

Feed Formulation by Stochastic Nonlinear Programming and Aanaltsing the Resulte by Fuzzy Synthesize Judgment

使用随机规划模型设计饲料配方可解决饲料原料的变异和营养需要量达成概率问题,但设计者不能判断营养成分的达成概率为多少时,所设计的饲料配方综合性能最优。提出先利用随机规划模型设计出不同达成概率水平下的饲料配方组,再利用饲料配方的模糊综合评判模型对饲料配方组进行分析比较,优选出最佳饲料配方方案。

For animal feed formulation, the variability of nutrients and the probability of meeting the nutrient requirement have been refined with stochastic nonlinear programming model. But it is difficult to judge the ration between the probability of meeting the nutrient requirement and the synthesize property of feed formulation. In this paper, the combination of stochastic nonlinear programming model and fuzzy synthesize judgment model is been used to solve the question.