Dynamic Threat Assessment Based on Combination Weighting and Improved VIKOR

Abstract

Aiming at the shortcomings of current air defense target threat assessment methods, a dynamic threat assessment method based on combination weighting and improved multi-attribute compromise solution decision (VIKOR) is proposed. Firstly, the AHP method is improved through grey correlation analysis and systematic clustering to obtain the subjective weight, the index correlation is introduced to improve the entropy weight method to determine the objective weight, and the final weight is obtained through subjective and objective combination. Then, an improved VIKOR threat assessment model based on regret theory is established. Finally, the optimization models of information entropy-time degree and coefficient of variation-time degree are constructed according to the time degree criterion, the time series weight is obtained through the idea of game theory, and the multi-time target information is integrated to obtain the final threat assessment result. The experimental simulation results show that the improved method obtains more scientific and reasonable index weights, and the threat assessment results can fully reflect the decision makers’ psychological preferences and dynamic changes of targets, which verifies the effectiveness of the method.

Keywords

• |threat assessment|regret theory|combination weighting|vikor|time orness|air defense operations|air defense weapon system