Enterprise crisis early warning system
An early warning system, enterprise technology, used in forecasting, instrumentation, data processing applications, etc.
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Embodiment 1
[0197] For the embodiment of the double base point distance ratio method, as shown in Fig. 1 and Fig. 2, the model process is the original data collection of enterprise operation-data processing-data calculation-output results-giving suggestions-end, this The model can provide early warning of corporate crises from four different perspectives: corporate finance, human resources, organization, and products. Let’s take finance as an example to illustrate the model. Other aspects such as human resources, organization, and products are also applied. It is enough to quantify the characteristic observation value of the enterprise, that is, the index describing the operation and management status of the enterprise. In fact, these indicators are both quantitative and qualitative. For qualitative indicators that are inconvenient to calculate, they can be converted into quantitative indicators through methods such as Delphi, Analytic Hierarchy Process or Fuzzy Mathematics.
[0198]Collectio...
Embodiment 2
[0229] The prediction-probability identification method is shown in Figure 1 and Figure 4. The model process is the collection of the original business data-data processing-data calculation-output results-giving recommendations-end, the model can be obtained from corporate finance , Human resources, organization, and products. Four aspects such as human resources, organization, and products provide early warning of corporate crises. Let’s take finance as an example to illustrate the model. Other aspects such as human resources, organization, and products are also applied. Observed value is the quantification of indicators describing the status of business management. In fact, these indicators are both quantitative and qualitative. The qualitative indicators that are inconvenient to calculate can be converted into quantitative indicators through methods such as Delphi, AHP or fuzzy mathematics.
[0230] Data collection and processing: At present, there is still controversy about th...
Embodiment 3
[0246] The fuzzy recognition-clustering method is shown in Figure 1 and Figure 6. Its model process is the collection of the original business data-data processing-data calculation-output results-giving recommendations-end, the model can be obtained from the enterprise The four aspects of finance, human resources, organization and products provide early warning of corporate crises. Now let’s take finance as an example to illustrate the model. Other aspects such as human resources, organization, and products are also applied. The characteristic observation value is the quantification of the index describing the business management status. In fact, these indicators are both quantitative and qualitative. The qualitative indicators that are inconvenient to calculate can be converted into quantitative indicators through methods such as Delphi, AHP or fuzzy mathematics.
[0247] Data collection and processing: We randomly selected 24 companies' financial data (see Table 6) as training s...
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