DocumentCode
506758
Title
Research on unascertained-measure-based tactics decision of air-to-ground multi-target combat
Author
Lu Hua ; Zhou De-yun ; Zhang Kun
Author_Institution
Dept. of Electron. Inf., Northwestern Polytech. Univ., Xian, China
Volume
2
fYear
2009
fDate
20-22 Nov. 2009
Firstpage
145
Lastpage
148
Abstract
In the air-to-ground multi-target combat, the target attack order is of great importance to the efficient assignment of weapon resources. In accordance with the characteristics of multiple attribute decision and the threat assessment, a model for assessing targets´ threat degree in air-to-ground multi-target attack is established based on the theory of unascertained measure. The targets´ threat degree can be evaluated and obtained with the help of this model. Then the attack decision-making process is studied utilizing the theory of grey associative analysis, based on which a model for air-to-ground multi-target attack decision-making is established. This model transfers the decision-making problem to the solution of the attack value at multi-target, so the target attack sequence can be obtained through solving this model. Finally the availability and effectiveness of this model have been proved by simulation results, providing an effective decision-making method for air-to-ground multi-target combat.
Keywords
decision making; military systems; air-to-ground multi-target attack decision-making; air-to-ground multi-target combat; decision-making process; grey associative analysis; multiple attribute decision; target attack order; threat assessment; unascertained-measure-based tactics decision; Algorithm design and analysis; Azimuth; Decision making; Information analysis; Intelligent systems; Interference; Power measurement; Uncertainty; Weapons; decision system; multi-target attack; threat assessment; unascertained measure;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-4754-1
Electronic_ISBN
978-1-4244-4738-1
Type
conf
DOI
10.1109/ICICISYS.2009.5358259
Filename
5358259
Link To Document