Command and Control Decision Model Based on Artificial Neural Network for Air Defense

• Main Authors: Hung Yu Ko, 柯鴻裕
• Other Authors: Chee Wha Yann
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/01847742698135271462

碩士 === 國防管理學院 === 資源管理研究所 === 95 === In light of modern warfare, battlefield command and control decision making involves with the interface and coordination among many subsystems. Commanders are likely to face the problems of information overload and hardly able to make right decision within very short time. This study intends to explore the feasibility to make the command and control system intelligent, by means of the techniques of artificial intelligence and data mining, to build a decision model capable of reducing information load of commanders, supporting threat analysis and fire allocation. The low altitude air defense system is used as a practical example, assuming possible incoming threats as target. Critical factors obtained by interviewing field experts are treated as the inputs of artificial neural network. Threat index constructed through fuzzy sets are regarded as outputs of artificial neural networks. The results show that the intelligent model can effectively support the judgment upon incoming targets and improve the quality of decision making.