{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T20:11:38Z","timestamp":1760127098450,"version":"build-2065373602"},"reference-count":51,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2023,5,7]],"date-time":"2023-05-07T00:00:00Z","timestamp":1683417600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/systems11050234","type":"journal-article","created":{"date-parts":[[2023,5,8]],"date-time":"2023-05-08T02:03:31Z","timestamp":1683511411000},"page":"234","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Measuring Method Based on Graph Structure for Decision-Making Complexity in Major Science and Technology Projects"],"prefix":"10.3390","volume":"11","author":[{"given":"Zhifeng","family":"Wu","sequence":"first","affiliation":[{"name":"School of Economics and Management, Beijing Jiaotong University, Beijing 100876, China"},{"name":"China Electronics Technology Development Planning Research Institute Co., Ltd., Beijing 100041, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yisheng","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Economics and Management, Beijing Jiaotong University, Beijing 100876, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,5,7]]},"reference":[{"key":"ref_1","first-page":"1346","article-title":"Theories of Decision-making in Economics and Behavioral Science","volume":"92","author":"Simon","year":"2011","journal-title":"J. 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