基于改进TOPSIS法的供应商选择模型研究

为有效地帮助企业快速找到合适的供应商合作伙伴，采用直觉模糊集、评分函数等方法对TOPSIS评估法进行优化，并以此为基础建立了一种供应商选择模型。首先，采集和评估供应商的产品质量、产品价格、产品交货的可靠性、供应位置、财务情况、库存水平、劳资关系、发展能力和技术能力等相关信息，由专家给出主观评估信息，汇总为综合属性值；然后，通过直觉模糊熵确定各评估指标的权重；最后，综合考虑供应商选择决策过程中的多个目标和标准，应用改进TOPSIS法的对供应商进行分类选择。结果显示，基于改进TOPSIS法的供应商选择模型能够较准确地反映出各供应商的真实水平和对企业的潜在价值，可以有效地解决不确定条件下对供应商的选择问题，提高了供应商选择结果的可靠性。改进后的模型简便易行，具有良好的稳定性，对于合理制定企业供应商选择标准以及进一步优化决策模型具有一定的借鉴意义。

Research on supplier selection model based on improved TOPSIS method

In order to help enterprises find suitable supplier partners effectively in a short time, the TOPSIS evaluation method was optimized by utilizing intuitionistic fuzzy sets and scoring functions, based on this, a supplier selection model was established. Firstly, the product information of suppliers such as quality, product price, delivery reliability, supply location, financial situation, inventory level, labor relation, development ability and technical ability of suppliers was collected and evaluated. After that, the subjective evaluation information was given by experts, and comprehensive attribute values were obtained. Then, the weight of each evaluation index was determined by intuitionistic fuzzy entropy. Finally, taking multiple objectives and criteria into consideration in the process of supplier selection, the improved TOPSIS method was applied to classify and select suppliers. The results show that the supplier selection model based on improved TOPSIS method can accurately reflect the true level and potential value of each supplier for enterprises. It can effectively solve the problem of supplier selection under uncertain conditions, and improve the reliability of supplier selection results. With merits of easier operation and better stability, the improved model provides significant reference for making reasonable supplier selection standards and further optimizing the decision-making model.