Financial crisis;
Early warning and monitoring;
Fuzzy cognitive map;
Crisis early warning model;
D O I:
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摘要:
Because the financial crisis early warning and monitoring is too complex, most of the current implementation can only alternately choose early warning in accordance with the criteria of monitoring the financial crisis. As a result, the security measures are not in accordance with the actual situation of the system, and cannot be adjusted quickly according to the changes of the system. This paper presents a financial crisis early warning detection algorithm based on fuzzy cognitive map. The relationship between financial data is obtained by fuzzy cognitive map, and the system crisis value is calculated by fuzzy cognitive map reasoning process. Finally, through the financial data of listed companies, the early warning and monitoring effect of the algorithm is verified. The experimental results show that the method is efficient, cost-effective, and can timely and reasonably reflect the crisis state of financial data.
机构:
College of Economics and Management, China Jiliang University, Hangzhou,310018, ChinaCollege of Economics and Management, China Jiliang University, Hangzhou,310018, China
Wu, Zengyuan
Jin, Lingmin
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机构:
College of Economics and Management, China Jiliang University, Hangzhou,310018, ChinaCollege of Economics and Management, China Jiliang University, Hangzhou,310018, China
Jin, Lingmin
Han, Xiangli
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h-index: 0
机构:
College of Economics and Management, China Jiliang University, Hangzhou,310018, ChinaCollege of Economics and Management, China Jiliang University, Hangzhou,310018, China
Han, Xiangli
Wang, Zelin
论文数: 0引用数: 0
h-index: 0
机构:
College of Economics and Management, China Jiliang University, Hangzhou,310018, ChinaCollege of Economics and Management, China Jiliang University, Hangzhou,310018, China
Wang, Zelin
Wu, Bei
论文数: 0引用数: 0
h-index: 0
机构:
School of Management and E-business, Zhejiang Gongshang University, Hangzhou,310018, ChinaCollege of Economics and Management, China Jiliang University, Hangzhou,310018, China