Multi-objective threat assessment method based on multi-criteria compromise solution ranking

Abstract

The invention provides a multi-target threat assessment method based on multi-criteria compromise solution sequencing. The method comprises the steps of firstly constructing a target attribute decision-making matrix, then calculating entropy values of all target attributes, and finally adopting a multi-criteria compromise solution sequencing method to calculate the target threat degree to determine a target which interferes the threat degree maximally. According to the multi-target threat assessment method based on multi-criteria compromise solution sequencing, the limitations of a TOPSIS method can be effectively overcome, the random and subjective problems of a Bayes network, an analytic hierarchy process and the like are avoided, and the rationality and accuracy of target threat degree sequencing are improved.

Description

technical field [0001] The invention belongs to the field of data fusion, in particular to a multi-objective threat assessment method. Background technique [0002] Data fusion technology is a technology in the field of information science, which is an important basis for a new generation of intelligent information technology, and threat assessment is an important part of data fusion research. When our aircraft is interfered by multiple aircraft in different situations, how to make a reasonable order of interference threat level is very important for our command decision-making. Therefore, threat assessment is a prerequisite for making reasonable command decisions, and the research is of great significance. [0003] At present, scholars have conducted some research on multi-objective threat assessment. Commonly used multi-objective threat assessment methods include AHP, intuitionistic fuzzy sets, Bayesian reasoning, expert systems, etc. In the prior art, the TOPSIS method...

AI Technical Summary

Problems solved by technology

In the prior art, the TOPSIS method ignores the distance between the alternatives and the ideal solution and the negative ideal solution, that is, all the solutions whose distance from the positive ideal solution is less than the distance from the negative ideal solution are better than the distance from the positive ideal solution equal to Therefore, the ideal solution obtained is not necessarily the solution closest to the ideal point, so the reliability of the sorting results obtained by using the TOPSIS method is low; other existing technologies such as analytic hierarchy process, expert system, Bayesian reasoning, etc. are mostly affected by subjective factors, and the reliability is low

In addition, there are few studies on the application of multi-criteria compromise solution ranking method in threat assessment

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