Threat estimation and situation assessment method based on genetic fuzzy logic tree

Abstract

The invention discloses a threat estimation and situation assessment method based on a genetic fuzzy logic tree. The method comprises the following steps: reasoning target characteristics and attributes by adopting a fuzzy logic method to obtain a threat estimation result; inputting the threat estimation result and the environmental influence factors into a fuzzy inference device of situation assessment, performing situation assessment and obtaining a preliminary situation assessment result; and according to the real-time change of the environmental influence factors of the situation assessment, continuously optimizing the fuzzy inference device by combining a genetic algorithm, and outputting to obtain a final situation assessment result. According to the invention, a cascaded double-layer fuzzy logic tree is formed; fuzzy logic techniques are adopted, the method is suitable for processing a complex and nonlinear dynamic system which cannot be mathematically described; the method is combined with a genetic algorithm, the capability of updating a knowledge rule base is achieved, accordingly, intelligent threat estimation and situation evaluation can be realized, the computational complexity can be greatly reduced while fuzzy logic adaptive force and robust performance can be reserved, and the timeliness of threat estimation and situation evaluation can be improved.

Description

technical field [0001] The invention belongs to the technical field of information fusion methods for threat estimation and situation assessment, in particular to a threat estimation and situation assessment method based on a genetic fuzzy logic tree. Background technique [0002] The rapid development of the Internet, on the one hand, has brought convenience to life, on the other hand, it has also caused immeasurable threats to modern warfare. The command automation technology system (C3I) is an important guidance and decision-making system in the combat process, and it is also an information hub in the war. It collects and integrates the information of various sensors in the war, and then estimates the threat of the enemy and the situation of the entire battlefield, so as to promote effective warfare. Goals are determined. [0003] Threat estimation is different from threat level classification. The former is a high-level information fusion technology based on the target’...

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Problems solved by technology

[0007]The purpose of the present invention is to solve the problem that when there are too many indicators in the current existing threat estimation methods and situation assessment methods, the optimal solution can only be selected from the original solutions, and cannot Provide new decision-making schemes and cannot calculate the propagation of uncertainty from one domain framework to another, and the neural network requires a large number of training samples, the number of iterations is large, the amount of calculation is large, and it is easy to fall into the problem of local optimum , proposed a threat estimation and situation assessment method based on genetic fuzzy logic tree

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