Consumer online shopping risk assessment method of multi-index projection decision method

Abstract

The invention relates to a consumer online shopping risk assessment method of a multi-index projection decision method and belongs to the data processing technology field. The method comprises the following steps of establishing a consumer online shopping risk assessment index model from a consumer perspective, a seller, a third-party platform perspective and a product perspective; hierarchicallyclassifying the multiple evaluation index dimensions contained in the above three perspectives according to an evaluation index attribute to form a complete assessment decision configuration which includes multiple levels and reflects the system performance from different visual angle; and based on an analytical structure model, depicting the intricate connections among indexes, using an analytichierarchy process to endow corresponding weights to the indexes, and using an improved multi-index projection decision method to scientifically and effectively assess the risks of online shopping forconsumers. In the invention, the integrity, the scientificity and the validity of the indexes are clarified; and problems of insufficient consumer online shopping risk evaluation index system construction verification, the lack of an evaluation effect and case verification, and less weight evaluation in combination evaluation in the prior art are solved.

Description

technical field [0001] The invention relates to a consumer online shopping risk assessment method based on a multi-index projection decision-making method, and belongs to the technical field of data processing. Background technique [0002] Compared with traditional shopping, online shopping is more and more widely accepted by people for its advantages of convenience, quickness, and easy operation. However, the virtual transaction nature of online shopping, the difficulty of confirming the information of purchased items, and the complexity of online shopping transaction parties and third-party transactions have brought great risks to potential consumer transactions. Online shopping is conducted in a virtual network environment, and online shopping risks seriously restrict consumers' online shopping. [0003] At present, domestic and foreign studies on consumer online shopping risk index decision-making mainly focus on a small amount of theoretical analysis and countermeasur...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a multi-indicator projection decision-making method for consumer online shopping risk assessment in view of the lack of verification of the existing consumer online shopping risk assessment system, the lack of example verification of evaluation effects and conclusions, etc.

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