Method for judging tuple linguistic model through comprehensive evaluation of target threat level

A technology of threat level and binary semantics, applied in special data processing applications, instruments, electronic digital data processing, etc., can solve problems such as target threat assessment, case analysis, etc.

Inactive Publication Date: 2015-09-09
FUZHOU UNIV
View PDF3 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] There have been a lot of discussions and researches on target threat assessment at home and abroad, but because it involves military secrets, it is difficult to see real case studies of target threat assessment problems in open literature, and most of them focus on theoretical models and methods. study

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
  • Method for judging tuple linguistic model through comprehensive evaluation of target threat level
  • Method for judging tuple linguistic model through comprehensive evaluation of target threat level
  • Method for judging tuple linguistic model through comprehensive evaluation of target threat level

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] The technical solution of the present invention will be specifically described below in conjunction with the accompanying drawings.

[0025] The present invention provides a binary semantic judgment method for comprehensive evaluation of target threat level, such as figure 1 As shown, follow the steps below to achieve:

[0026] Step S1: Using the reversible map τ:[1,h]→E×[-0.5,0.5), through υ j ∈[1,h]aτ(υ j )=(e k ,α jk )∈E×[-0.5,0.5) to obtain the target T in the target set T j Threat level judgment value υ j The binary semantics of (e k ,α jk ), and according to the binary semantics (e k ,α jk ) to determine the target T j Threat level e k , where the target threat level k=Round(υ j ), deviation value α jk = υ j -k, E is the threat level set, Round is the rounding function, T={T 1 , T 2 ,...,T n} is the target set, 1≤j≤n, 1≤k≤h, n and h are both positive integers greater than or equal to 1;

[0027] Obviously, the inverse map τ of τ -1 :E×[-0.5,0.5)...

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 relates to a method for judging a tuple linguistic model through comprehensive evaluation of a target threat level. The method is realized according to the following methods: through uj<[1,h]aT[uj]=(ek, ajk)<Ex[-0.5, 0.5), obtaining a tuple linguistic model (ek, ajk) of a threat level judging value vj of a target Tj in a target set T; according to the tuple linguistic model corresponding to every target, determining the threat level of every target and determining a target threat sequence of all centralized targets according to the order of its tuple linguistic model from big to small. The target thread grade proposed by the invention comprehensively evaluates the grade judging value definition and the tuple linguistic concept, so as to further set up the tuple linguistic judging model and method of the corresponding target threat level comprehensive evaluation, so as to provide theoretical basis for the signifying operation of the target thread level comprehensive evaluation result, facilitate the implementation by computer, and provide the theoretical basis and intelligent support to guide the decision making; moreover, the method can be expanded and applied to multiattribute or rule group classification decision-making issues in economical management, information system management, information security, and other domains.

Description

technical field [0001] The invention relates to target threat assessment, in particular to a binary semantic judgment method for comprehensive assessment of target threat level. Background technique [0002] Target threat assessment (Threat Assessment) is sometimes called threat estimation or threat judgment, which is divided into two categories: target threat ranking assessment and target threat level comprehensive assessment. Target threat assessment is closely related to battlefield situation assessment. Its main task is to deduce the threat level or threat level of enemy targets based on various data. It is an important part of the command and control system and will directly affect target allocation and firepower utilization. To the combat effect and combat effectiveness of the troops [1-8] . Since the beginning of human warfare, target threat assessment has been one of the special concerns of commanders and military experts. Perhaps due to the relatively low complex...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 李登峰陈明志费巍
Owner FUZHOU UNIV
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