In this paper, grey relational analysis (GRA) and fuzzy logic were successfully combined with Taguchi optimization method and utilized on multiple quality responses to optimize ternary additives for the improvement of expansive soil properties. The ternary additives included sawdust ash (SDA), quarry dust (QD) and ordinary Portland cement (OPC) additives. Signal-to noise ratios were estimated for each of the quality characteristics and then normalized using the GRA theory. The normalized values, which were set as the input variables in the fuzzy logic system, were used to obtain the output multiple performance characteristic indices (MPCI). Thereafter, factors level effect on the MPCI were evaluated and the factor level that maximized the averaged MPCI was selected as the optimal factor level. The optimum combination of the ternary additives (20% SDA+20%QD+8%OPC) was obtained subsequently. Confirmatory experiments and micrograph analysis were executed and the results obtained reveal the effectiveness of the applied optimization procedure.

本文将灰色关联分析（GRA）和模糊逻辑与田口优化方法成功结合，利用多重质量响应优化三元添加剂，以改善膨胀土特性。三元添加剂包括锯末灰（SDA）、采石场粉尘（QD）和普通硅酸盐水泥（OPC）添加剂。估计每个质量特征的信噪比，然后使用 GRA 理论进行归一化。归一化的值被设置为模糊逻辑系统的输入变量，用于获得输出多重性能特征指标（MPCI）。此后，评估因素水平对 MPCI 的影响，并选择最大化平均 MPCI 的因素水平作为最佳因素水平。随后获得了三元添加剂的最佳组合（20% SDA+20%QD+8%OPC）。进行了验证性实验和显微照片分析，获得的结果揭示了应用优化程序的有效性。