TOPSIS-method multi-target threat ordering method based on information entropy

Abstract

The invention provides a TOPSIS-method multi-target threat ordering method based on information entropy. The method includes first building a threat assessment threat factor model, building a target attribute decision matrix according to the threat factor model, adopting an entropy weight method to calculate a target attribute weight vector according to the decision matrix, adopting a TOPSIS method to calculate relative close degree of target schemes according to the weight vector calculated through the entropy weight method and conducting threat assessment ordering on the schemes according to the close degree, namely the threat degree. By means of the method, shortcomings of the traditional ideal solution approaching ordering method in determination of weight coefficients are effectively overcome, and the target threat degree prediction accuracy is improved.

Description

technical field [0001] The invention belongs to the technical field of data fusion, and in particular relates to a method for sorting multi-target threats, which can be used in airborne task processors or air / ground guidance and command systems. Background technique [0002] Data fusion is a comprehensive information processing technology. Threat assessment is an important part of the information fusion model proposed by the United States Tri-Service Laboratory Council. It is an important part of the establishment of an advanced command automation system. Its research focuses on how to It is usually uncertain to make reasonable and scientific assessment and ranking, and to guide our own further actions. It plays an important role in both military and civilian fields. Against the background of increasingly rampant terrorist attacks in the world, civil aviation has become the first choice for terrorists to carry out terrorist activities due to its high controllability and gre...

AI Technical Summary

Problems solved by technology

However, the traditional TOPSIS method is difficult to determine the weight of the target attribute, and often needs to be given manually, which has great subjectivity and blindness.

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