Automatic Pricing Mechanism of PWYW Based on AHP-FCE Data Value Evaluation

Abstract

Data trading can improve data circulation and promote the development level of information technology, However, data pricing issues limit the expansion of data trading scale. In response to this issue, this study proposes pricing data products through data value assessment. This study uses the Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation method to design a data value evaluation method, which combines the Pay What You Want (PWYW) mechanism with Stackelberg game to design an automated pricing method for data transactions. The results show that the designed data value evaluation method has a value evaluation error of no more than 5% for different data types. When automatically pricing data products based on the value evaluation results, the pricing result should have an error of no more than 5% compared to the market average price, and the pricing result can be automatically adjusted according to market conditions. The proposed automated pricing method for data products can automatically price products based on market conditions, effectively safeguarding the interests of both parties in the data trading market and promoting its development.