A new algorithm of cotton fibre selection and laydown using TOPSIS method of multi-criteria decision making

A novel approach of cotton fibre grading and selection has been proposed by using the Tcchnique for Order Preference by S imi larity to Ideal Solution (TOPSIS) method of Multi-Criteria Decision Making (MCDM). Cotton bales were grouped into different categories based on thei r quality values determined by TOPSIS method and Spinning Consistency Index (SCI). Laydowns were then formed by random and frequency relative picking algorithms from 1 200 real cotton bales with known HVI properties. Computer s imulation results demonstrate that the frequency relative picking of TOPSIS and SCI are capable to reduce the between laydown variabi l i ty of major cotton properties.