摘要
As the air combat environment becomes more complicated and changeable, accurate threat assessment of air target has a significant impact on air defense operations. This paper proposes an improved generalized intuitionistic fuzzy soft set (GIFSS) method for dynamic assessment of air target threat. Firstly, the threat assessment index is reasonably determined by analyzing the typical characteristics of air targets. Secondly, after the GIFSS at different time is obtained, the index weight is determined by the intuitionistic fuzzy set entropy and the relative entropy theory. Then, the inverse Poisson distribution method is used to determine the weight of time series, and then the time-weighted GIFSS is obtained. Finally, threat assessment of five air targets is carried out by using the improved GIFSS (I-GIFSS) and comparison methods. The validity and superiority of the proposed method are verified by calculation and comparison.
As the air combat environment becomes more complicated and changeable, accurate threat assessment of air target has a significant impact on air defense operations. This paper proposes an improved generalized intuitionistic fuzzy soft set(GIFSS)method for dynamic assessment of air target threat. Firstly, the threat assessment index is reasonably determined by analyzing the typical characteristics of air targets. Secondly, after the GIFSS at different time is obtained, the index weight is determined by the intuitionistic fuzzy set entropy and the relative entropy theory.Then, the inverse Poisson distribution method is used to determine the weight of time series, and then the time-weighted GIFSS is obtained. Finally, threat assessment of five air targets is carried out by using the improved GIFSS(I-GIFSS) and comparison methods.The validity and superiority of the proposed method are verified by calculation and comparison.
基金
supported by the National Natural Science Foundation of China(51779263)
作者简介
FENG Jinfu was born in 1964. He is a professor in Air Force Engineering University. He received his Ph.D. degree from Nanjing University of Science and Technology in 1996. His research interests are intelligent decision-making of air combat, airborne stores management system, and design of cross-medium weapons. E-mail: wcsfjf@163.com;ZHANG Qiang was born in 1991. He is a Ph.D. candidate in Air Force Engineering University. He received his M.S. degree from Air Force Engineering University in 2016. His research interests are fuzzy system theory, intelligent decision-making of air combat and multi-attribute decision-making theory. E-mail: zjslwdyx@163.com;HU Junhua was born in 1980. He is an associate professor in Air Force Engineering University. He received his M.S. and Ph.D. degrees from Air Force Engineering University in 2004 and 2008, respectively. His research interests are intelligent decisionmaking of air combat, control of cross-medium weapons and weapon management system. E-mail: hjh air@163.com;LIU An was born in 1982. He is a lecturer in Air Force Engineering University. He received his M.S. and Ph.D. degrees from Air Force Engineering University in 2007 and 2010, respectively. His research interests are intelligent decision-making of air combat and aviation bus management system. E-mail: frederick111@yeah.net.
