Search

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.

Existing missile defense target threat assessment methods ignore the target timing and battlefield changes, leading to low assessment accuracy. In order to overcome this problem, a dynamic multi-time fusion target threat assessment method is proposed. In this method, a new interval valued intuitionistic fuzzy weighted averaging operator is proposed to effectively aggregate multi-source uncertain information; an interval-valued intuitionistic fuzzy entropy based on a cosine function (IVIFECF) is designed to determine the target attribute weight; an improved interval-valued intuitionistic fuzzy number distance measurement model is constructed to improve the discrimination of assessment results. Specifically, first of all, we define new interval-valued intuitionistic fuzzy operation rules based on algebraic operations. We use these rules to provide a new model of interval-valued intuitionistic fuzzy weighted arithmetic averaging (IVIFWAA) and geometric averaging (IVIFWGA) operators, and prove a number of algebraic properties of these operators. Then, considering the subjective and objective weights of the incoming target, a comprehensive weight model of target attributes based on IVIFECF is proposed, and the Poisson distribution method is used to solve the time series weights to process multi-time situation information. On this basis, the IVIFWAA and IVIFWGA operators are used to aggregate the decision information from multiple times and multiple decision makers. Finally, based on the improved TOPSIS method, the interval-valued intuitionistic fuzzy numbers are ordered, and the weighted multi-time fusion target threat assessment result is obtained. Simulation results of comparison show that the proposed method can effectively improve the reliability and accuracy of target threat assessment in missile defense. [ABSTRACT FROM AUTHOR]