The invention discloses a bid invitation
purchasing compliance and risk decision-making method based on a bipolar discussion theory. The method comprises the following steps: firstly, carrying out structuring and atomization
processing on bid invitation documents and laws and regulations through a DeepOCR and a big
language model; fusing the internal atomic arguments and external evidences, and constructing a bidirectional argument graph containing a support relationship and an
attack relationship; and iteratively calculating the standing intensity
score of each argument through an aggregation influence model to realize quantitative
risk assessment. And finally generating a structured auditing opinion with a traceable evidence chain, and automatically distributing the structured auditing opinion to an expert review or automatic approval channel according to the
risk level. Through a man-
machine cooperation feedback mechanism, expert correction opinions are settled as new knowledge, and continuous self-evolution of the bidding knowledge ontology network is realized. According to the method, the accuracy,
interpretability and adaptability of compliance judgment are remarkably improved, and the method is suitable for government purchase, project bid invitation, enterprise internal control and other scenes.