Title: Assistant decision-making model for colour matching of outer packing

Authors: Yuping Sun

Addresses: Department of Computer, Zhengzhou Preschool Education College, Zhengzhou 450099, China

Abstract: In order to solve the problem of low matching accuracy in traditional methods, a decision-making model of colour matching of outer packaging is designed. The support vector machine algorithm is used to determine the finite dataset in two-dimensional space, and the similar data is fused to extract the colour matching data feature of the product outer packaging. The state characteristics and probability distribution of feature data are determined by dynamic Bayesian network, and the data features are preprocessed. First particle swarm optimisation algorithm is used to determine the particle velocity and the best position, then the optimal scheme of colour matching of the outer packaging is obtained, and finally, the auxiliary decision model of the colour matching of the outer packaging is completed. Experimental results show that the proposed method can effectively improve the matching accuracy of the colour matching of the outer packaging, with the highest of 95%.

Keywords: outer packing; colour collocation; support vector machine; 2d space; dynamic Bayesian network; particle swarm optimisation.

DOI: 10.1504/IJMTM.2022.128724

International Journal of Manufacturing Technology and Management, 2022 Vol.36 No.5/6, pp.298 - 308

Received: 14 May 2021
Accepted: 27 Oct 2021

Published online: 02 Feb 2023 *

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