Abstract:

The rating of new retail ecology network security is a key problem in nowadays cybersecurity management. However， the existingnetwork security rating investigated on general network security. New retail ecology network security is not studied， especially paying little attention to issues such as the non-compensation of information among factors and the stability of rating methods， the stability for variable weight decision methods for rating network security situation. Based on the description of the fuzzy rating problem， the membership functions of interval type， upper bound type， and lower bound type are constructed， and the membership functions of four cases are given. A method of determining index weights based on cross-entropy and entropy theory is proposed. A compromised variable weight analysis method is systematically studied. A compromised variable weight function construction method based on utility function is proposed. Furthermore， the absolute risk aversion coefficient is used to analyze the effect of variable weight decision-making， and the relevant properties are proved. Accordingly， a fuzzy comprehensive evaluation model of compromised variable weight is proposed， and the binary semantic method is further used to identify grades reasonably and distinguish the ranking of the same grade. The stability analysis of cybersecurity situation grade assessment mixed variable weight synthesis model is studied through using mathematical theory， and the analytical solutions of index weight ranges are given when the grades’ results of the cybersecurity situation grade assessment mixed variable weight method are stable. This method can overcome the shortcomings of the maximum membership rating method and compensation index rating problems.

Key words: grade assessment, stability, variable weight method, network security