Automatic Pricing Mechanism of Pay What You Want Based on Analytic Hierarchy Process-Fuzzy Comprehensive Evaluation Data Value Evaluation

Automatic Pricing Mechanism of Pay What You Want Based on Analytic Hierarchy Process-Fuzzy Comprehensive Evaluation Data Value Evaluation

Authors

  • Junqiang You Jiangxi Industry Polytechnic College, Nanchang, Jiangxi, China

DOI:

https://doi.org/10.37965/jait.2025.0667

Keywords:

analytic hierarchy process, automatic pricing, fuzzy comprehensive evaluation, intelligent decision, value assessment

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.

Metrics

Metrics Loading ...

Downloads

Published

2025-04-03

How to Cite

Junqiang You. (2025). Automatic Pricing Mechanism of Pay What You Want Based on Analytic Hierarchy Process-Fuzzy Comprehensive Evaluation Data Value Evaluation. Journal of Artificial Intelligence and Technology, 5, 150–158. https://doi.org/10.37965/jait.2025.0667

Issue

Section

Research Articles
Loading...