Intelligent pairing method applied to online stowage of vehicles and goods

Abstract

The invention discloses an intelligent pairing method applied to online stowage of vehicles and goods. Information of supply of goods and platform vehicles issued by a goods owner is fully considered based on a word segmentation spatial clustering method, and the information of supply of goods issued by the goods owner is subjected to word segmentation from multiple dimensions, a vehicle information clustering space is constructed, and online intelligent pairing of the supply of goods and vehicles is achieved by the floating space and fuzzy filtering; a plurality of attributes influencing vehicle selection are divided into sequential layers associated with one another based on a multi-attribute decision making model, thus being methodized, and the matched vehicles are optimally sorted according to vehicle transaction evaluation and mass data of the platform, so that the result can be more intuitively presented. According to the intelligent pairing method applied to online stowage of vehicles and goods, the intelligent optimization pairing problem of vehicles and goods in the electronic commerce platform taking logistics service as a transaction object is well processed by the accurate big data mining analysis and the complicated model algorithm, so that the platform members or other members can quickly and accurately find the best fit stowage vehicle from the numerous vehicles and make a selection according with own requirements.

Description

technical field [0001] The invention relates to an optimized intelligent pairing method for online loading of vehicles and goods, which is suitable for word segmentation of goods source information released by goods owners from multiple dimensions on a logistics electronic platform, constructing vehicle information clustering space, and realizing online intelligence of goods sources and vehicles Matching and optimizing the sorting of matching vehicles belong to the technical field of intelligent matching. Background technique [0002] The continuous development of information technology has promoted the in-depth integration of e-commerce and the logistics industry. The biggest feature of the logistics e-commerce platform is to find cars and goods online. However, it is necessary to quickly and accurately find suitable vehicles from the massive vehicle information on the platform. Vehicle allocation is the most concerned issue for cargo owners. Most of the existing logistics...

AI Technical Summary

Problems solved by technology

Most of the existing logistics e-commerce platforms copy the Internet search method, and the establishment of the word segmentation system is relatively incomplete, which cannot objectively and fully reflect the information on the source of goods released by the owner of the goods. ; In addition, big data is another feature of the logistics e-commerce platform. After the owner of the goods releases the source information, it is impossible to make the best choice among the massive intelligent matching vehicles.

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