Risk control data generation method and device and equipment and computer readable storage medium

Abstract

The invention relates to the field of artificial intelligence, and discloses a risk control data generation method, which comprises the steps: mapping an application number of acquired target data into a random number according to a preset random number mapping rule; performing interval configuration on the random number according to a preset interval configuration table to obtain a random numberinterval; performing risk control evaluation on the target data corresponding to each random number in the random number interval through a risk control evaluation model, and outputting a risk controlevaluation result corresponding to the target data; and loading the target data and the risk control evaluation result corresponding to the target data into a preset table to obtain a risk control evaluation result table of the target data, and outputting the risk control evaluation result table. The invention also relates to a blockchain technology. The risk control evaluation model is stored ina blockchain. According to the method, transverse comparison can be provided for risk control data, so that selection of an optimal decision is facilitated, the time cost for selecting the optimal decision is saved, and the working efficiency is improved.

Description

technical field [0001] The present invention relates to the field of artificial intelligence, in particular to a method, device, electronic equipment and computer-readable storage medium for generating risk control data. Background technique [0002] In the process of the credit risk control system for each application's risk control results (passed results, rejected results), in order to adjust the risk control strategy in time, it is necessary to conduct statistical analysis on each application. During the process of statistical analysis It is necessary to generate risk control data, including evaluation rules, and the corresponding risk control results under different risk control evaluation rules, so as to formulate a reasonable risk control strategy. [0003] The current risk control evaluation system has only one set of processes, and the evaluation rules are also fixed. For example, in the credit granting stage, all customers have to go through five rules of abcde to ...

AI Technical Summary

Problems solved by technology

[0003] The current risk control evaluation system has only one set of processes, and the evaluation rules are also fixed. For example, in the credit granting stage, all customers have to go through five rules of abcde to complete the risk control evaluation. There is no horizontal comparison of the generated risk control data. More time cost for trial and error, waste of time, and not conducive to selection to determine the optimal decision

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