文章詳目資料

Journal of Computers EIMEDLINEScopus

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篇名 Predicting Credit Accessibility Based on Social Capital and Artificial Intelligence
卷期 33:5
作者 Thi Thu Huong DinhThai Thuy Lam HaHongjuan Yang
頁次 039-047
關鍵字 social capitalcredit accessibilityartificial intelligenceEIMEDLINEScopus
出刊日期 202210
DOI 10.53106/199115992022103305004

中文摘要

英文摘要

Social capital is a significant factor that determines the success of a business, company or individual. The paper presents a new method to predict the aquaculture household’s ability to access to credit, based on social capital and artificial intelligence. Social capital data is collected through surveys of aquaculture households, and then replying on artificial intelligence algorithms to build predictive models. The prediction results show that our proposed method can accurately predict households accessing the formal credit market. This is the basis for the planning and development of aquaculture in potential areas.

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