Research on Risk Prediction Model of Contract Terms Based on Big Data

Abstract

With the rising power industry, the demand for power supplies in the market is gradually expanding, and many power supply companies have poured into the market. Therefore, so as to standardize corporate behavior and make the market procurement behavior more programmatic, a contract for the purchase of power supplies came into being. Meanwhile, the research on the risk prediction model of the material purchase contract terms based on the big data environment is mainly discussed in the paper, in which AHP and fair entropy algorithm are applied to analyze the benefit flow of each core participant, and establish a risk assessment model framework for management projects to realize visual analysis of risk prediction and big data evaluation with an effective risk management method. According to verification by examples, the research content in the paper provides a safety guarantee for the supply of power supplies.