The robustness test results of the model.

The robustness test results of the model.

<div><p>To enhance the accuracy and response speed of the risk early warning system, this study develops a novel early warning system that combines the Fuzzy C-Means (FCM) clustering algorithm and the Random Forest (RF) model. Firstly, based on operational risk theory, market risk, resea...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Xini Fang (20861990) (author)
منشور في: 2025
الموضوعات:
Biotechnology
Immunology
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
provides basic information
experimental results show
early warning strategies
operational risk theory
human resource risk
enterprise risk assessment
model &# 8217
45 %, 5
45 %, 4
09 %, 4
processing sample data
handle complex data
corporate operational risk
traditional rf model
improved rf model
fcm clustering algorithm
clustering algorithm
rf algorithm
risk indicators
market risk
financial risk
development risk
model achieves
95 %,
81 %,
29 %,
26 %,
20 %,
rating data
performance data
fcm clustering
data classification
corporate bonds
xlink ">
weight method
thereby enhancing
response speed
respectively 6
random forest
primary indicators
net value
intercriteria correlation
income products
fuzzy c
f1 score
48 %.
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