Article Details

Title · Authors · Abstract · Keywords · DOI · References

Research on Data Value Evaluation and Pricing Based on Large Language Models and Genetic Algorithms

WANG Xueqin, CAO Jiantong

(School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China)

Section：Artificial Intelligence · Vol. 2026, Issue 1 · Pages：47-51,57 · 2096-4706（2026）01-0047-06 · CLC number：TP399 · Document code：A · DOI：10.19850/j.cnki.2096-4706.2026.01.010

Abstract

As the importance of data elements in the digital economy continues to rise, scientific pricing has become an urgent key problem to be solved. This paper constructs a multidimensional data utility system integrated with Large Language Model-assisted evaluation, quantifies data value from four dimensions including data capacity, quality, Machine Learning applicability and privacy protection, and proposes a multi-version pricing model based on Genetic Algorithms. Verified through empirical analysis, the results show that the model can effectively capture the multidimensional trade-offs of data value, achieve the maximum profits of suppliers, and provide feasible theoretical and practical references for the value discovery and efficient circulation of data elements.

Keywords

data pricing; utility evaluation; Large Language Model; Genetic Algorithm; market segmentation

References

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About the authors

Wang Xueqin (2000-), female, Han ethnicity, from Beijing, master's student, research interests include data science and intelligent information systems; Cao Jiantong (1969-), male, Han ethnicity, from Chengdu, Sichuan, associate professor, doctoral degree, research interests include data science and intelligent information systems.