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.