The main purpose of this study is to predict and develop a model for forecasting the Seam Strength (SS) of denim garments with respect to the thread linear density (tex) and Stitches Per Inch (SPI) by using a Fuzzy Logic Expert System (FLES). The seam strength is an important factor for the serviceability of any garments. As seams bound the fabric pieces together in a garment, the seams must have sufficient strength to execute this property even in the unexpected severe conditions where the garments are subjected to loads or any additional internal or external forces. Sewing thread linear density and number of stitches in a unit length of the seam are the two of the most important factors that affect the seam strength of any garments. But the relationship among these two specific variables and the seam strength is complex and non-linear. As a result, a fuzzy logic based model has been developed to demonstrate the relationship among these parameters and the developed model has been validated by the experimental trial. The coefficient of determination (R²) was found to be 0.98. The mean relative error also lies withing acceptable limit. The results have suggested a very good performance of the model in the case of the prediction of the seam strength of the denim garments.

这项研究的主要目的是通过使用模糊逻辑专家系统（FLES）来预测和开发一个模型，以针对线密度（tex）和每英寸针距（SPI）预测牛仔服装的接缝强度（SS）。 ）。接缝强度是任何服装使用寿命的重要因素。当接缝将织物片结合在一起时，接缝必须具有足够的强度以执行该性能，即使在服装承受负载或任何其他内部或外部力的意外恶劣条件下也是如此。缝纫线线密度和接缝单位长度中的针数是影响任何服装接缝强度的两个最重要因素。但是，这两个特定变量与接缝强度之间的关系是复杂且非线性的。结果，已经开发了基于模糊逻辑的模型来证明这些参数之间的关系，并且所开发的模型已通过实验验证。确定系数（发现R ²）为0.98。平均相对误差也处于可接受的范围内。结果表明，在预测牛仔服装的接缝强度的情况下，该模型具有很好的性能。