Title :
Research on FTOPSIS model of threat synthetic evaluation in multi-target tracing system
Author :
Wang, B.H. ; Huang, J.G. ; Qin, X.S. ; Yan, Z.H. ; Bai, J.
Author_Institution :
Northwestern Polytech. Univ., Xi´´an
Abstract :
Threat evaluation is the most important component of multi-target tracing (MTT) system, and target information is often imprecise and fuzzy. Many multiple attribute decision making (MADM) methods were utilized to evaluate the threat extent of aerial targets, such as the analytic hierarchy process (AHP), fuzzy optimum (FO), the technique of order preference by similarity to ideal solution (TOPSIS) and gray relation analysis (GRA). In this paper, a new method of threat synthetic evaluation named Fuzzy-TOPSIS (FTOPSIS) is presented, and a model of FTOPSIS is established to solve the problems of target optimization and misjudgment of target attacked. This new method has high precision and shows better performance than other classical methods. The simulation results show that the system using FTOPSIS has highest effectiveness. Compared with other classical methods, the effectiveness of the system using FTOPSIS is about 23% higher than the AHP, 17% higher than the FO, 11% higher than TOPSIS, and 10% higher than the GRA FTOPSIS has good application in project and can be used practically.
Keywords :
acoustic signal processing; decision making; defence industry; fuzzy set theory; national security; FTOPSIS model; Fuzzy-TOPSIS; analytic hierarchy process; fuzzy optimum; gray relation analysis; multiple attribute decision making; multitarget tracing system; technique of order preference by similarity to ideal solution; threat synthetic evaluation; Acoustic measurements; Decision making; Educational institutions; Fuzzy systems; Hamming distance; Mechanical engineering; Optimization methods; Signal analysis; Signal detection; Stability; Fuzzy technique of order preference by similarity to ideal solution; multi-target tracing; multiple attribute decision-making; synthetic evaluation; threat evaluation;
Conference_Titel :
Industrial Engineering and Engineering Management, 2007 IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1529-8
Electronic_ISBN :
978-1-4244-1529-8
DOI :
10.1109/IEEM.2007.4419146