Open Access
MATEC Web of Conferences
Volume 22, 2015
International Conference on Engineering Technology and Application (ICETA 2015)
Article Number 02013
Number of page(s) 7
Section Electric and Electronic Engineering
Published online 09 July 2015
  1. Das, Sumanta Kumar. 2014. Modeling intelligent decision-making command and control agents: An application to air defense. Intelligent Systems, IEEE, 29(5): 22–29. [CrossRef] [Google Scholar]
  2. Philip R. E. Cutler and X. Thong Nguyen. 2003. Description of a rule-based model for the automatic allocation of airborne assets. 6th International Conference on Information Fusion. [Google Scholar]
  3. Lu Hua, Zhou Deyun, Zhang Kun. 2009. Research on unascertained-measure-based tactics decision of air-to-ground multi-target Combat. 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems. [Google Scholar]
  4. Jeong Hoon Kim, Chang Beom Choi, Tag Gon Kim. 2011. Battle experiments of naval air defense with discrete event system-based mission-level modeling and simulations. The Journal of Defense Modeling & Simulation, 8(3). [Google Scholar]
  5. Jun Wang, Xiaozhe Zhao, Yinhan Zhang, Buyun Wang. 2011. Cooperative air-defense system of system immune multi-agent model based on danger theory for surface warship formation. International Conference on Computational and Information Sciences, ICCIS 2011. [Google Scholar]
  6. Jun Wang, Xiaozhe Zhao, Beiping Xu, Wei Wang, Zhiyong Niu. 2013. Immune multi-agent model using vaccine for cooperative air-defense system of systems for surface warship formation based on danger theory. Journal of Systems Engineering and Electronics, (6): 946–953 [CrossRef] [Google Scholar]
  7. Hangyu Wang, Jieshi Wang, Peng Li. 2006. Shipborne Fire Control Theory. Beijing: National Defense Industry Press. [Google Scholar]
  8. D.F. Li. 2010. TOPSIS-based nonlinear-programming methodology for multi-attribute decision making with interval-valued intuitionistic fuzzy sets. IEEE Trans. On Fuzzy Systems, 18(2): 299–311. [Google Scholar]
  9. Yongjie Xu, Yongchun Wang, Xudong Miu. 2012. Multi-attribute decision making method for air target threat evaluation based on intuitionistic fuzzy sets. Journal of Systems Engineering and Electronics, 23(6): 891–897. [CrossRef] [Google Scholar]
  10. J. Ye. 2010. Fuzzy decision-making method based on the weighted correlation coefficient under intuitionistic fuzzy environment. European Journal of Operational Research, 205(2): 202–204. [CrossRef] [Google Scholar]
  11. Liebhaber M J, Smith C A P. 2000. Naval air threat assessment: Cognitive factors and model. 5th International Command and Control Research and Technology Symposium. [Google Scholar]
  12. Lu Huiying, Peng Wu, Wang Ruimei. 2014. A real-time network threat recognition and assessment method based on association analysis of time and space. Journal of Computer Research and Development, 51(5): 1039–1049. [Google Scholar]
  13. Yuan Haiying, Gao Xuejin. 2010. The weapon target assignment strategy research on genetic algorithm. 2010 3rd International Conference on Computer and Electrical Engineering. [Google Scholar]
  14. Sifeng Liu. 2010. Theory and Application of Grey System. NSW: Science Press. [Google Scholar]
  15. Yin Zhihong, Cui Naigang, Guan Shiyi. 2007. A threat coefficient method for extended air defense system analysis. Second International Conference on Space Information Technology. [Google Scholar]

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