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Determination of the technological value of cotton fibre: a comparative study of the traditional and multiple-criteria decision-making approaches

Majumdar A., Majumdar P. K., Sarkar B.

Autex Research Journal

2005

Vol. 5, no. 2

71--80

This paper presents a comparative study of the methods used to determine the technological value or overall quality of cotton fibre. Three existing methods, namely the fibre quality index (FQI), the spinning consistency index (SCI) and the premium-discount index (PDI) have been considered, and a new method has been proposed based on a multiple-criteria decision-making (MCDM) technique. The efficacy of these methods was determined by conducting a rank correlation analysis between the technological values of cotton and yarn strength. It was found that the rank correlation differs widely for the three existing methods. The proposed method of MCDM (multiplicative AHP) could enhance the correlation between the technological value of cotton and yarn strength.

Selecting cotton bales by spinning consistency index and micronaire using artifical neural networks

Majumdar A., Majumdar P. K., Sarkar B.

Autex Research Journal

2004

Vol. 4, no. 1

1--8

This paper presents a method of selecting cotton bales to meet the specified ring yarn properties using artificial neural networks. Five yarn properties and yarn count were used as inputs, whereas the Spinning Consistency Index (SCI) and micronaire were the outputs to the neural network models. Bales were selected according to the predicted combinations of SCI and micronaire. The properties of yarns spun from selected bales show good association with the target yarn properties.