Aerial Target Intention Recognition Approach Based on Belief-Rule-Base and Evidential Reasoning

ZHAO Fu-jun; ZHOU Zhi-jie; HU Chang-hua; WANG Li; LIU Tao-yuan

doi:10.3969/j.issn.1671-637x.2017.08.004

[5] YAN J J, WANG Y, CHENG H. A research on battlefield situation assessment with Bayesian games［J］. Information Technology Journal, 2014, 13(11): 1878-1882.

[11] BEN-BASSET M, FREEDY A. Knowledge requirement and management in expert decision support system for (military) situation assessment［J］. IEEE Transactions on System, Man, and Cybernetics, 1982, 12(4): 479-490.

[13] LUO B C, YUAN K, CHEN J L. Uncertainty analysis based dynamic multi-sensor data fusion［J］. Acta Automatic Sinica, 2009, 30(3): 407-415.

[14] YANG J B, LIU J, WANG J, et al. Belief rule-base infe-rence methodology using the evidential reasoning approach-RIMER［J］. IEEE Transactions on System, Man, and Cybernetics-part A: System and Humans, 2006, 36(2): 266-285.

[15] YANG J B, WANG Y M, XU D L, et al. The evidential reasoning approach for MADA under both probabilistic and fuzzy uncertainties［J］. European Journal of Operational Research, 2006, 171(1): 309-343.

[16] YANG J B. Rule and utility based evidential reasoning approach for multiattribute decision analysis under uncertainties［J］. European Journal of Operational Research, 2001, 131(1): 31-61.

[17] YANG J B, XU D L. Evidential reasoning rule for evidence combination［J］. Artificial Intelligence, 2013, 205: 1-29.

[18] CHANG L L, ZHOU Z J, YOU Y, et al. Belief rule based expert system for classification problems with new rule activation and weight calculation procedures［J］. Information Science, 2016, 336(1): 75-91.