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

Abstract

A novel approach of cotton fibre grading and selection has been proposed by using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method of Multi-Criteria Decision Making (MCDM).Cotton bales were grouped into different categories based on their quality values determined by TOPSIS method and Spinning Consistency Index

(SCI). Laydowns were then formed by random and frequency relative picking algorithms from 1200 real cotton bales with known HVI properties. Computer simulation results demonstrate that the frequency relative picking of TOPSIS and SCI are capable to reduce the between laydown variability of major cotton properties.