Title: Intelligent classification of logistics multi-distribution resources based on information fusion

Authors: Xinxian Qiu

Addresses: Qingdao Vocational and Technical College of Hotel Management, Qingdao 266100, China

Abstract: Aiming at the problems of low recall rate and low precision of intelligent classification of logistics multi-distribution resources, an intelligent classification method of logistics multi-distribution resources based on information fusion is proposed. The discrete transformation of measurement equation and state equation is used to describe the state parameters of logistics distribution vehicles and roads. The state estimation component is used to estimate the state of logistics multi-distribution vehicles, and the state equation of logistics multi-distribution vehicles is obtained. The state error of multi-distribution vehicles is used to realise the intelligent classification of logistics multi-distribution resources. The experimental results show that this method has high recall rate and accuracy in intelligent classification of logistics multi-distribution resources, and can get more accurate classification results, at the same time it takes less time to classify resources, which is conducive to promoting the development of logistics distribution technology.

Keywords: information fusion; logistics multi-distribution; resources; intelligent classification.

DOI: 10.1504/IJITM.2021.10037421

International Journal of Information Technology and Management, 2021 Vol.20 No.3, pp.250 - 264

Received: 13 Mar 2019
Accepted: 29 May 2019

Published online: 28 Apr 2021 *

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