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Intelligent decision support systems in information systems: integrated learning algorithms and applications

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17 mar 2025

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Figure 1.

Intelligent decision support system general structure diagram
Intelligent decision support system general structure diagram

Figure 2.

Model comparison
Model comparison

The proportion of wealth is 0_2, 0_5 and 0_8

b Initial value
50 100 150
0.2
100 0.8369 0.91125 0.8792
200 0.8156 0.8549 0.8479
400 0.7914 0..8379 0.7836
0.5
100 0.8075 0.7746 0.7993
200 0.7986 0.7520 0.8326
400 0.7825 0.8714 0.8086
0.8
100 0.8156 0.7596 0.8229
200 0.8479 0.8163 0.8074
400 0.8226 0.7785 0.8476

Financial risk incidence data table

Experimental frequency Existing system/% The design department Of this article/%
1 45.36 10.23
2 35.24 9.56
3 40.17 8.26
4 45.36 8.93
5 46.63 9.16

The integration method perform son different time nodes

ACC AUC F1-score Precision Recall
T-2 0.9115 0.8802 0.8836 0.8815 0.8884
T-3 0.9063 0.8536 0.8679 0.8537 0.8677
T-4 0.8724 0.8476 0.8216 0.8479 0.8015

System response time data table

Financial risk Status number Existing system/s The design department of this article/s
1 23.63 10.21
2 25.50 10.57
3 20.11 11.23
4 15.57 12.58
5 10.35 10.13
6 20.67 10.25
7 15.48 10.72
8 15.59 10.32
9 14.92 10.28
10 16.94 10.42