基于粗糙集和BP神经网络的供应商选择研究

Study on Selection of Suppliers Based on Rough Set and BP Neural Network

构建了绿色供应链下的供应商选择评价指标体系,并根据粗糙集和BP神经网络的理论和方法,建立了基于粗糙集和BP神经网络的供应商评价选择模型。结合一个供应商选择实例,结果表明,运用这一混合评价模型来选择供应商,既提高了训练数据表达的清晰度,同时还能避免其他方法人为计取权值和相关系数的主观影响和不确定性,选择的结果比较客观、科学。

In this paper we established the supplier selection model based on rough set and BP neural network and then in a practical example demonstrated that by applying this model in supplier selection, we could enhance the clarity of the expression of the trained data and avoid subject influence and uncertainty in the determination of weights and coefficients.