DocumentCode
2678726
Title
Grey Relational Evaluation of Electronic Equipment Effectiveness Based on Ideal Reference Sequence
Author
Hongfa, Ke ; Yongguang, Chen ; Guoyu, Wang
Author_Institution
Coll. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha
Volume
2
fYear
2006
fDate
17-19 July 2006
Firstpage
918
Lastpage
922
Abstract
Evaluating the combat effectiveness of electronic equipment is an important research task. Due to the incomplete information, the data which is used for effectiveness evaluation is regarded as the uncertain grey number according to the grey system theory. Based on the positive and negative ideal sequence, a grey relational analysis model for the combat effectiveness evaluation of electronic equipment is introduced. And the relevant grey relational analysis algorithm is established also. The effectiveness value is acquired through an optimal function which maximizes the combat effectiveness of the equipment. Then the evaluation distinguishing coefficient is defined to compare the effectiveness evaluation model and algorithm. The simulation example shows the rationality and feasibility of the proposed method. This method can accurately rank the combat effectiveness of electronic equipment so that the best equipment can be chosen
Keywords
electronic warfare; grey systems; military computing; combat effectiveness evaluation; electronic equipment; grey relational evaluation; grey system theory; ideal reference sequence; Algorithm design and analysis; Computational modeling; Computer simulation; Educational institutions; Electronic equipment; Electronic equipment testing; Probability; Reconnaissance; Statistics; Weapons; Electronic equipment; effectiveness evaluation; evaluation coefficient; evaluation distinguishing coefficient; grey relational theory; ideal sequence;
fLanguage
English
Publisher
ieee
Conference_Titel
Cognitive Informatics, 2006. ICCI 2006. 5th IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
1-4244-0475-4
Type
conf
DOI
10.1109/COGINF.2006.365615
Filename
4216533
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