With development of information technology, information system has been advanced in a battlefield situation, and it becomes key factors to obtain information about the enemy aircraft and analyze the situation in battlefield. Threat evaluation which is the key factor of analysis of a battlefield situation is a technology that evaluates threat values on the situation in accordance with air intelligence gotten through radar and provides information about weapon assignment. This stage requires the most accurate information than other stage in a battlefield situation. Most of data of threat evaluation is calculated by sensed sensor values and transmitted, but presentation of incorrect links of sensor data or data omission that could happen on the existing technique could cause confusion over decision making in a battlefield situation. Thus, the links must be defined accurately through knowledge of experts on various sensor data domain, and reliable threat consequences must be provided through adaptation and learning about unpredictable battlefields due to data omission. On this paper, a fusion system, a dynamic neuro fuzzy knowledge based inference system, which is favorable to adaptation and learning and presentation of expertise, is suggested and applied to threat evaluation.
['Jongmin Yun', 'Sung-Sam Hong', 'Myung-Mook Han']
A dynamic neuro fuzzy knowledge based system in threat evaluation