本研究旨在應用複迴歸法，建立客觀織物質感的評估模式，盼望藉由幾個具關鍵性的織物結構及色彩性質，去預測夏季男仕襯衫用布所須具備之質感。由研究結果發現，確實可藉由織物11項結構及色彩性質，利用複迴歸法，建立織物「輕薄-厚實」、「涼爽-溫暖」、「細緻-粗獷」、「鮮明-暗淡」、「簡潔-繁雜」等基本質感，以及織物總質感的預測模式。其模式判別係數分別為：0.66、0.71、0.57、0. 65、0.67及0.70，顯示模式具有很好的擬合能力。

The study results show that Multiple Regression Method can be used successfully to establish 6 prediction models, including fabric primary textures of “Thin-Thick”, “Cool-Warm”, “Exquisite-Wild”, “Bright-Dark” , “Simple-Complex” and “Overall Textures”, having discriminant coefficient of 0.66,0.71,0.57,0.65,0.67 and 0.70, respectively. Therefore, all the 6 models have good fitted ability.