Abstract
Unlike general large-scale projects, major science and technology projects (MSTPs) are strategically positioned to meet national needs, reflecting the forward-looking direction of science and technology development. The correctness of decision making for MSTPs is crucial for the long-term development and strategic interests of the country. To measure decision complexity accurately, we propose a graph-based approach that utilizes information entropy theory. This approach provides decision makers with a theoretical foundation for effectively managing decision complexity.
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