{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T17:57:49Z","timestamp":1777485469820,"version":"3.51.4"},"reference-count":44,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2025,1,14]],"date-time":"2025-01-14T00:00:00Z","timestamp":1736812800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Humanities and Social Sciences Youth Foundation, Ministry of Education of the People\u2019s Republic of China","award":["22YJCZH038"],"award-info":[{"award-number":["22YJCZH038"]}]},{"name":"Humanities and Social Sciences Youth Foundation, Ministry of Education of the People\u2019s Republic of China","award":["2025B088"],"award-info":[{"award-number":["2025B088"]}]},{"name":"Research Project of Zhejiang Federation of Humanities and Social Sciences","award":["22YJCZH038"],"award-info":[{"award-number":["22YJCZH038"]}]},{"name":"Research Project of Zhejiang Federation of Humanities and Social Sciences","award":["2025B088"],"award-info":[{"award-number":["2025B088"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>Technology-based small and micro enterprises play a crucial role in national economic and social development. Managing their credit risk effectively is key to ensuring their healthy growth. This study is based on corporate credit management theory and Wu\u2019s three-dimensional credit theory. It clarifies the credit concept and measurement logic of these enterprises, considering their unique development characteristics in China. A credit evaluation system is constructed, and an innovative method combining machine learning with comprehensive evaluation is proposed. This approach aims to assess the credit status of technology-based small and micro enterprises in a thorough and objective manner. The study finds that, first, the credit level of these enterprises is currently moderate, with little variation. Second, financial information remains a key factor in credit evaluation. Third, the ML-AHP (Machine Learning-Analytic Hierarchy Process) combined weighting method effectively integrates subjective experience with objective data, providing a more rational assessment. The findings provide theoretical references and practical guidance for the healthy development of technology-based small and micro enterprises, early credit risk warning, and improved financing efficiency.<\/jats:p>","DOI":"10.3390\/data10010009","type":"journal-article","created":{"date-parts":[[2025,1,14]],"date-time":"2025-01-14T07:35:47Z","timestamp":1736840147000},"page":"9","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Credit Evaluation of Technology-Based Small and Micro Enterprises: An Innovative Weighting Method Based on Machine Learning and AHP"],"prefix":"10.3390","volume":"10","author":[{"given":"Bingya","family":"Wu","sequence":"first","affiliation":[{"name":"School of Information Technology, Zhejiang Financial College, Hangzhou 310018, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-8168-5404","authenticated-orcid":false,"given":"Zhihui","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Economics and Management, Zhejiang University of Science and Technology, Hangzhou 310023, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-1205-9504","authenticated-orcid":false,"given":"Zhouyi","family":"Gu","sequence":"additional","affiliation":[{"name":"School of Information Technology, Zhejiang Financial College, Hangzhou 310018, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuxi","family":"Zheng","sequence":"additional","affiliation":[{"name":"School of Information Technology, Zhejiang Financial College, Hangzhou 310018, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiayan","family":"Lv","sequence":"additional","affiliation":[{"name":"Library, Huzhou University, Huzhou 313000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,1,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"e27096","DOI":"10.1016\/j.heliyon.2024.e27096","article-title":"Credit risk assessment of small and micro enterprise based on machine learning","volume":"10","author":"Gu","year":"2024","journal-title":"Heliyon"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"e13961","DOI":"10.1016\/j.heliyon.2023.e13961","article-title":"The impact of the digital economy on Chinese enterprise innovation based on intermediation models with financing constraints","volume":"9","author":"Peng","year":"2023","journal-title":"Heliyon"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"929","DOI":"10.1111\/rode.13089","article-title":"Digital financial inclusion and corporate investment efficiency: Evidence from small-and medium-sized enterprises in China","volume":"28","author":"Ma","year":"2024","journal-title":"Rev. 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