Skip to main content
Log in

Cooperative threat assessment of multi-aircrafts based on synthetic fuzzy cognitive map

  • Published:
Journal of Shanghai Jiaotong University (Science) Aims and scope Submit manuscript

Abstract

Threat assessment is one of the most important parts of the tactical decisions, and it has a very important influence on task allocation. An application of fuzzy cognitive map (FCM) for target threat assessment in the air combat is introduced. Considering the fact that the aircrafts participated in the cooperation may not have the same threat assessment mechanism, two different FCM models are established. Using the method of combination, the model of cooperative threat assessment in air combat of multi-aircrafts is established. Simulation results show preliminarily that the method is reasonable and effective. Using FCM for threat assessment is feasible.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Yao Lei, Wang Hong-ming, Zheng Feng, et al. Study fuzzy clustering method of air target threat assessment [J]. Journal of Wuhan University of Technology: Transportation Science & Engineering, 2010, 34(6): 1159–1161 (in Chinese).

    Google Scholar 

  2. Liu Shun-li, Chen Ya-sheng, Chen Lin. Model for aerial targets threat evaluation based on agent [J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2010, 30(6): 212–215 (in Chinese).

    Google Scholar 

  3. Han Zhao-chao, Huang Shu-cai, Wang Feng-chao. Aerial targets threat evaluation method based on interval-number & entropy-weight analysis [J]. Tactical Missile Technology, 2010 (1): 32–35 (in Chinese).

  4. Jan T. Neural network based threat assessment for automated visual surveillance [C]//Proceedings of 2004 IEEE International Joint Conference on Neural Networks. Piscataway, NJ: IEEE, 2004: 1309–1312.

    Google Scholar 

  5. Kosko B. Fuzzy cognitive maps [J]. International Journal of Man-Machine, Studies, 1986, 24: 65–75.

    Article  MATH  Google Scholar 

  6. Ma Ji-hong, Shi Jun, Guan Hui-fen. Survey of application about theories of cognitive map [J]. Computer Technology and Development, 2008, 18(8): 126–129 (in Chinese).

    Google Scholar 

  7. Perusich K, Mcneese M D. Using fuzzy cognitive maps for knowledge management in a conflict environment [J]. IEEE Transactions on Systems, Man, and Cybernetics. Part C. Applications and Reviews, 2006, 36(6): 810–821.

    Article  Google Scholar 

  8. Lu Zhen-bang, Zhou Li-hua. A detection model for multi-stage attacks based on WOWA-FCM [J]. Journal of Sichuan University, 2008, 40(1): 122–126 (in Chinese).

    Google Scholar 

  9. Zhai Dong-sheng, Zhang Juan, Zhou Juan. A new exploration of comprehensive FCM and BP neural network [J]. Statistics and Decision, 2008 (4): 147–149 (in Chinese).

  10. Li Shi-yong. Fuzzy control, neuro control and intelligent cybernetics [M]. Harbin: Harbin Institute of Technology Publishing House, 1998 (in Chinese).

  11. Papageoriou E, Stylios C, Greumpos P. Fuzzy cognitive map learning based on nonlinear Hebbian rule [C]//Proceedings of Australian Conference on Artificial Intelligence’2003. Perth, Australia: LNAI, 2003: 256–268.

    Google Scholar 

  12. Bu Xin-yi, Liu Xiao-xiao, Chen Feng. Quantitative representation of tacit knowledge based on dynamical fuzzy cognitive maps [J]. Journal of the China Society for Scientific and Technical Information, 2007, 26(6): 839–844 (in Chinese).

    Google Scholar 

  13. Yang Ya-ping, Hu Jun-jie. Application of fuzzy cognitive-map in collaborative medical diagnosis system [J]. Computer Engineering and Applications, 2006, 42(7): 218–220 (in Chinese).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jun Chen  (陈 军).

Additional information

Foundation item: the Northwest Polytechnical University (NWPU) Foundation for Fundamental Research (No. JC201117), and the “E-Starts” Youth Foundation of School of Electronics and Information of Northwest Polytechnical University

Rights and permissions

Reprints and permissions

About this article

Cite this article

Chen, J., Yu, Gh. & Gao, Xg. Cooperative threat assessment of multi-aircrafts based on synthetic fuzzy cognitive map. J. Shanghai Jiaotong Univ. (Sci.) 17, 228–232 (2012). https://doi.org/10.1007/s12204-012-1257-1

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12204-012-1257-1

Key words

CLC number

Navigation