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.