Work

Application of Fuzzy Logic Inference Engine in Digital Culture Industry

Year: 2025

Type: article

Abstract: With the advancement of digital publishing, digital copyright trading is poised to become the predominant mode of copyright transactions in the future. However, the growth of the publishing industry is currently impeded by several challenges associated with digital copyright trading. These challenges include a complex evaluation process for determining copyright value, difficulties in protecting copyrights, obstacles in gathering evidence for infringement cases, and intricate management processes involved in trading. To address these issues within the existing traditional copyright valuation framework, this paper proposes and designs a digital copyright valuation system grounded in fuzzy logic. This system aims to evaluate digital copyright value comprehensively and intelligently by analyzing its key features through a fuzzy logic inference model. The objective is to provide valuable insights that can facilitate the development of digital copyright trading practices.

Source: International Journal of High Speed Electronics and Systems

DOI: 10.1142/s0129156425403900

Authors: Xuan Huang, Meihua Chen

Institutions: Jiangxi University of Finance and Economics, Nanchang University

Language: English

Topic: Fuzzy Logic and Control Systems

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Natural Science Foundation of China, Key Research and Development Program of Jiangxi Province

Awards: G1737230813, G2208792108, G6023990344, G6501951852