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

A situation assessment and fuzzy logic technology, applied in the field of information fusion of threat estimation and situation assessment, can solve the problems of large amount of calculation, many iterations, and the neural network needs a large number of training samples, so as to improve timeliness, ensure accuracy and time-sensitive effect

Active Publication Date: 2019-09-03
UNIV OF ELECTRONIC SCI & TECH OF CHINA
View PDF4 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Threat estimation and situation assessment method based on genetic fuzzy logic tree
  • Threat estimation and situation assessment method based on genetic fuzzy logic tree
  • Threat estimation and situation assessment method based on genetic fuzzy logic tree

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] A method of threat estimation and situation assessment based on a genetic fuzzy logic tree provided by a preferred embodiment of the present invention includes:

[0041] Threat estimation: use the fuzzy logic method to infer the target characteristics and attributes after information synthesis to obtain the threat estimation result;

[0042] Situation assessment: Input the threat estimation results obtained from threat estimation and the environmental impact factors of situation assessment into the fuzzy reasoner of situation assessment, conduct situation assessment and obtain preliminary situation assessment results;

[0043] Optimizing the fuzzy reasoner: According to the real-time changes of the environmental factors of the situation assessment, combined with the genetic algorithm, the fuzzy reasoner is continuously optimized, and the final situation assessment result is output.

[0044] In this embodiment, the process steps of the method are as follows figure 1 As ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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’...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06N5/04G06N3/12
CPCG06N5/048G06N3/126
Inventor 梁菁王田田赵晨凯任杰唐琴李岚钧杨成浩兰宇奇
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products