Jongmin Yun, Bomin Choi, Myung-Mook Han, Su-Hyun Kim, Journal of Internet Computing and Services, Vol. 13, No. 5, pp. 21-32, Oct. 2012
10.7472/jksii.2012.13.5.21, Full Text:
Keywords: JDL, Threat Evaluation, Fuzzy, Bayesian Network, Fuzzy-Bayesian Network

Abstract

Threat Evaluation(TE) which has air intelligence attained by identifying friend or foe evaluates the target's threat degree, so it provides information to Weapon Assignment(WA) step. Most of TE data are passed by sensor measured values, but existing techniques(fuzzy, bayesian network, and so on) have many weaknesses that erroneous linkages and missing data may fall into confusion in decision making. Therefore we need to efficient Threat Evaluation system that can refine various sensor data's linkages and calculate reliable threat values under unpredictable war situations. In this paper, we suggest new threat evaluation system based on information fusion JDL model, and it is principle that combine fuzzy which is favorable to refine ambiguous relationships with bayesian network useful to inference battled situation having insufficient evidence and to use learning algorithm. Finally, the system's performance by getting threat evaluation on an air defense scenario is presented.

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