Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/24511
Title: A new algorithm of cotton fibre selection and laydown using TOPSIS method of multi-criteria decision making
Authors: Majumdar, Abhijit
Sarkar, Bijan
Majumdar, Prabal Kumar
Keywords: Cotton;Frequency relative picking;Multi-criteria decision making;Random picking;Spinning consistency index;TOPSIS
Issue Date: Jun-2006
Publisher: NISCAIR-CSIR, India
IPC Code: Int. Cl.8 D01G5/00, G01N33/36
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.
Page(s): 248-255
URI: http://hdl.handle.net/123456789/24511
ISSN: 0975-1025 (Online); 0971-0426 (Print)
Appears in Collections:IJFTR Vol.31(2) [June 2006]

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