Two Robust Fuzzy Regression Models and Their Applications in Predicting Imperfections of Cotton Yarn
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Cotton Yarn Engineering Via Fuzzy Least Squares Regression
Modeling of yarn and fiber properties has been a popular topic in the field of textile engineering in recent decades. The common method for fitting models has been to use classical regression analysis, based on the assumptions of data crispness and deterministic relations among variables. However, in modeling practical systems such as cotton spinning, the above assumptions may not hold true. Pr...
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عنوان ژورنال
دوره 4 شماره 2
صفحات 60- 68
تاریخ انتشار 2016-06-01
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