Research on Composition of Social Credibility Index Based on Artificial Intelligence Model

الملخص EN

Honesty refers to the fairness, justice, and responsibility of public power in social life.

In order to enhance the trust of public power in society, it is necessary to analyze the social credibility indicator system.

In order to achieve an accurate evaluation of social credibility, this article uses big data mining and artificial intelligence analysis methods to construct a social credibility evaluation index system for public power.

First of all, this paper analyzes the distribution structure model of the public power social credibility index and analyzes the empirical mode decomposition and factor analysis of the public power social credibility evaluation data sequence in the social credibility feature distribution model.

Secondly, this article constructs the public power social credit evaluation and artificial intelligence data sequence model.

Using high-order cumulant features as a constraint operator, the accurate evaluation and consistent estimation of the social credibility index system of public power can be realized.

The grey model is used to predict the social credibility of public power and realizes the optimized design of the evaluation model of public power social credibility.

The simulation results show that the model has higher accuracy, better error convergence, and objectivity when designing the social reputation index system.