Air attack target dynamic threat assessment method based on combined empowerment and improved VIKOR

Abstract

The invention provides an air attack target dynamic threat assessment method based on combined empowerment and improved VIKOR. Comprising the following steps: determining an air attack target dynamic threat evaluation index, determining a threat membership degree of the evaluation index, determining an expert capability weight based on a grey correlation coefficient, determining an expert clustering weight based on a system clustering method, determining an expert final weight, determining an index subjective weight, and determining an index objective weight based on an improved entropy weight method. The final weight of the index is calculated through subjective and objective combination weighting, target threat assessment of VIKOR is improved based on the regret theory, and target dynamic threat assessment is carried out based on the time sequence weight. According to the method, the problems that the index weight determination of the existing air attack target threat assessment method is greatly influenced by subjectivity of experts and the correlation between indexes is ignored, and the assessment precision is not high due to the fact that a multi-attribute decision-making method ignores the psychological behavior and decision-making preference of a decision maker and ignores the target time sequence and battlefield situation change can be solved; and a method support is provided for development of a new-generation air defense intelligent command and control system.

Description

technical field [0001] The invention relates to the technical field of command and control of air defense operations, in particular to a dynamic threat assessment method for air strike targets based on combined weighting and improved multi-attribute compromise solution decision (VIKOR). Background technique [0002] Air attack target threat assessment is the core issue in the field of command and control of air defense operations. Due to the many characteristic attributes of air strike targets, the threat assessment of targets needs to integrate the dynamic changes of target timing and battlefield situation, which is essentially a kind of uncertain dynamic multi-attribute group decision-making problem. [0003] Currently commonly used threat assessment methods mainly include multi-attribute decision-making methods, intuitionistic fuzzy sets, neural networks, support vector machines, and Bayesian networks. As an extension of fuzzy set theory, intuitionistic fuzzy sets can de...

AI Technical Summary

Problems solved by technology

However, there are still the following deficiencies: First, in determining the weight, the shortcomings of the subjective weighting method and the objective weighting method have not been analyzed and improved, and the obtained index weights are not scientific enough.

Second, when building a threat assessment model, the traditional multi-attribute decision-making method is based on the assumption that the decision-maker is completely rational, without considering the decision-maker's psychological behavior and decision-making preferences, which is often different from the decision-maker in the actual threat assessment process. The reality of bounded rationality with corresponding preferences does not match

Third, in the assessment process, most of the threat assessments are based on the information of the target at the current moment, ignoring the data information of multiple historical moments, and it is impossible to reflect the dynamic changes of the target threat level in the complex and changeable battlefield situation.

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