CAJ | 학술논문

未来复杂战场环境下信息具有高度不确定性，对于不同类型的目标很难客观地估计其威胁等级。针对该问题，采用粒计算的有关理论建立了可实时更新的威胁估计信息系统，基于决策逻辑语言提取出极小化的规则集，它反应了信息系统所包含的专家经验知识。通过分析知识的不确定性，并给出其不确定性表示，提出了相应的知识推理策略，从而可以对复杂情况下的不同类型多目标进行有效的威胁估计。
미래복잡전장배경하신식구유고도불학정성，대우불동류형적목표흔난객관지고계기위협등급。침대해문제，채용립계산적유관이론건립료가실시경신적위협고계신식계통，기우결책라집어언제취출겁소화적규칙집，타반응료신식계통소포함적전가경험지식。통과분석지식적불학정성，병급출기불학정성표시，제출료상응적지식추리책략，종이가이대복잡정황하적불동류형다목표진행유효적위협고계。
In the future complex battlefield environment, objective threat level of different target types are difficult to estimate for the uncertainty of information. Aiming at this problem, an information system of threat assessment is built by the theory of granular computing. Then the knowledge in the form of minimized production rules that contain the expert experience is mined by decision logic language. Furthermore, through the analysis of knowledge uncertainty, a strategy of knowledge reasoning is put forward. In this way, the threat of multi-types targets in the complex environment can be effectively evaluated.