2. Multi-attribute decision-making is an important part of modern decision-making science, and its theories and methods are widely used in many fields such as engineering design, economy, management and military affairs. Such as: investment decision-making, project evaluation, maintenance service, weapon system performance evaluation, factory site selection, bidding, industrial sector development sequencing and comprehensive evaluation of economic benefits. The essence of multi-attribute decision-making is to sort or select a group of (limited) alternatives in a certain way by using the existing decision-making information. It mainly consists of two parts: (1) obtaining decision information. Decision information generally includes two aspects: attribute weight and attribute value (attribute value is mainly (2) the decision information is assembled in a certain way, and the best scheme is selected in order.
3. The grey forecasting model is a forecasting method that establishes a mathematical model and forecasts according to a small amount of incomplete information. When we use the ideas and methods of operational research to solve practical problems, formulate development strategies and policies, and make decisions on major issues, we must make scientific predictions about the future. Prediction is to describe and analyze the future development trend and conditions of objective things with the help of scientific methods and according to the development laws of the past and present, and to form them.
In 2022, the enrollment charter of Shaanxi Police Officer Vocational College has been published, which mainly includes the general situa