Construction of Digital Economy Trade Security Evaluation System Based on Computational Intelligence

Area of Science:

• Digital Economy
• Computational Intelligence
• International Trade Security

Background:

• The digital economy (DE) is vital for intelligent societies, with computational intelligence driving its growth.
• Increasing international trade necessitates robust security measures.
• Existing trade security evaluations lack comprehensive frameworks for the digital age.

Purpose of the Study:

• To develop and validate a digital economy trade security evaluation system.
• To address the growing prominence of trade security issues in international commerce.
• To leverage computational intelligence for enhanced trade security assessment.

Main Methods:

• Proposed a novel computational intelligence algorithm: a support vector machine enhanced by improved particle swarm optimization.
• Selected five key indicators for evaluation: market competitiveness, trade control, trade dependence, market concentration, and trade legal system.
• Implemented the evaluation system to assess the trade security of various countries.

Main Results:

• The developed evaluation system effectively measures digital economy trade security.
• Experimental results indicate the UK possesses the highest trade security index (0.582).
• China's trade security index was found to be relatively lower (0.492) in the tested sample.

Conclusions:

• The proposed evaluation system, utilizing advanced computational intelligence, is effective for assessing digital economy trade security.
• The findings highlight significant variations in trade security among nations.
• This framework provides a valuable tool for policymakers and stakeholders in managing international trade risks.