针对传统属性识别模型在综合决策评价时存在的不足,提出了基于Logi stic属性测度函数的改进属性识别模型。通过改进属性识别模型在某城市污水处理厂扩建决策评价中的应用实例,说明了由于非线性测度函数能更好地描述评价指标的实际隶属度,故基于Logistic曲线测度的属性识别模型(Logi stic-cu rve based att ribute recognition model,LARM)具有更高的决策可靠性,在决策评价问题中具有一定的推广应用价值。 Aiming at the shortcomings of the traditional attribute identification model in comprehensive decision making, an improved attribute identification model based on Logi stic attribute measure function is proposed. By improving the application of attribute identification model in the decision-making of the expansion of a municipal wastewater treatment plant, it is illustrated that the non-linear measurement function can better describe the actual membership degree of the evaluation index. Therefore, the Logistic curve-based attribute identification model (Logi stic -cu rve based att ribute recognition model, LARM) has a higher decision-making reliability, and has some promotion and application value in decision-making evaluation.