The invention relates to a multivariate evidence
correlation analysis method in the judicial field, and belongs to the technical field of intelligent
processing of documents. The method comprises the following steps: loading judicial case file data and extracting an evidence content text; constructing an evidence rule template according to judicial
domain knowledge and expert opinions; extracting evidence elements based on the rule template and constructing an evidence
library; building a multivariate evidence information network, calculating the condition probability of association information among evidence elements based on a
Bayesian network, and forming a multivariate evidence association analysis model; optimizing the multivariate evidence information network through a random strategy
reinforcement learning algorithm; and calculating an information probability value of the multivariate evidence subnet, and selecting the most valuable multivariate evidence information network. According to the method, a multivariate evidence
correlation analysis event of a judicial case is converted into an updating and optimizing task of a multivariate evidence information network, the complex correlation problem among multivariate evidences is simplified, a correlation model among the multivariate evidences is given, and certain auxiliary support is provided in a judicial
decision support system.