Vehicle member credit evaluation method

Abstract

The invention relates to a vehicle member credit evaluation method. Accumulated credit evaluation data extracted after transaction behavior completion by a transaction party is used as an evaluation basis and a plurality of trust factors that influence the trust relationship measure and include vehicle owner service satisfaction degree evaluation by a cargo owner after transaction completion, the number of times of vehicle carrying, the benefit amount created for the system by the vehicle, and accident occurrence frequency during vehicle carrying and the like can be considered comprehensively; and then a multi-factor weighted average method and fuzzy comprehensive evaluation method-based credit evaluation model and an evaluation method are put forward. According to the invention, various factors are considered comprehensively and an evaluation method is brought forward by using the algorithm. Problems of multiple factor existence, fuzziness, and subjective judgment and the like during the transaction process can be well solved; and the defects of imperfection and non-concise property of the existing evaluation system on the network can be overcome. Therefore, the cargo owner can know comprehensive credit information of a to-be-selected vehicle clearly and visually and thus makes a decision rapidly and reasonably, thereby improving the operation efficiency and the service quality of the whole system as well as scientificity of transaction selection.

Description

technical field [0001] The invention relates to a credit evaluation method. Background technique [0002] At present, with the rise of the global e-commerce boom, the freight collection and distribution e-commerce platform is also gradually launched into the market. However, most of the existing e-commerce platform website credit evaluation models use the evaluation mechanism of online shopping websites. This mechanism is relatively simple, easy to operate, and has been popularized to a certain extent. The reference provided by the users cannot intuitively and fully reflect the real credit level of the rated users. Moreover, when the amount of evaluations has accumulated to a certain extent, long-term customer evaluations are easily ignored, and thus play a small role in making correct and rapid decisions for new users. Contents of the invention [0003] The purpose of the present invention is to overcome the deficiencies in the prior art, and provide a vehicle member cr...

AI Technical Summary

Problems solved by technology

However, most of the existing e-commerce platform website credit evaluation models use the evaluation mechanism of online shopping websites. This mechanism is relatively simple, easy to operate, and has been popularized to a certain extent. Users provide references, which cannot intuitively and fully reflect the real credit level of the rated users

Moreover, when the amount of evaluations accumulates to a certain level, long-term customer evaluations are easy to be ignored, and thus play a small role in making correct and rapid decisions for new users.

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