Threat-judgment is a complicated fuzzy inference problem. Up to now no relevant unified theory and measur-ing standard have been developed. It is very difficult to establish a threat-judgment model with high reliabili...Threat-judgment is a complicated fuzzy inference problem. Up to now no relevant unified theory and measur-ing standard have been developed. It is very difficult to establish a threat-judgment model with high reliability in the airdefense system for the naval warships. Air target threat level judgment is an important component in naval warship com-bat command decision-making systems. According to the threat level judgment of air targets during the air defense of sin-gle naval warship, a fuzzy pattern recognition model for judging the threat from air targets is established. Then an algo-rithm for identifying the parameters in the model is presented. The model has an adaptive feature and can dynamicallyupdate its parameters according to the state change of the attacking targets and the environment. The method presentedhere can be used for the air defense system threat judgment in the naval warships.展开更多
The method of empirical mode decomposition(EMD) was used for the signal processing and featureing of acoustic target of battle field. According to the signal's characteristics of different targets, some feature ve...The method of empirical mode decomposition(EMD) was used for the signal processing and featureing of acoustic target of battle field. According to the signal's characteristics of different targets, some feature vectors in token of the target properties were constructed and abstracted. In the basis of feature abstracting and statistic analysis for large amount of sample signal of the targets, using the maximum subjection classification method based on the fuzzy synthesis judgment, the three typical acoustic target helicopter, tank and traffic vehicle were recognized.展开更多
In order to perform better in target control, this paper proposed a decision-making system method based on fuzzy automata. The decision-making system first preprocessed the signal and then performed a two-level decisi...In order to perform better in target control, this paper proposed a decision-making system method based on fuzzy automata. The decision-making system first preprocessed the signal and then performed a two-level decision on the target to achieve optimal control. The system consisted of four parts: signal preprocessing, contrast decision-making, comprehensive judgment of decision-making and decision-making result. These decision algorithms in target control were given. A concrete application of this decision-making system in target control was described. Being compared with other existing methods, this paper used both global features and local features of target, and used the decision-making system of fuzzy automata for the target control. Simulation results showed that the control effect based on the decision-making system was better than that of the other existing methods. Not only it was faster, but also its correct control rate was higher to be 95.18% for the target control. This research on the control system not only developed the FA theory, but also strengthened its application scope in the field of control engineering.展开更多
通过用有意义联系和无意义联系的两种中文词对作为识记材料，在以前实验研究基础上，进一步验证关于FOK（Feeling of Knowing）产生机制的两种理论假说，即靶项目记忆强度假说（或靶项目提取可能性假说）与线索熟悉性假说。实验结果表...通过用有意义联系和无意义联系的两种中文词对作为识记材料，在以前实验研究基础上，进一步验证关于FOK（Feeling of Knowing）产生机制的两种理论假说，即靶项目记忆强度假说（或靶项目提取可能性假说）与线索熟悉性假说。实验结果表明，靶项目记忆强度和线索熟悉性程度都能决定FOK判断等级的高低，说明两种假说并非绝对对立，非此既彼。但此二因素都需达到一定程度，才能显著影响FOK判断等级的高低。展开更多
基金This project was supported by the National Defense Foundation of China(40108070103)
文摘Threat-judgment is a complicated fuzzy inference problem. Up to now no relevant unified theory and measur-ing standard have been developed. It is very difficult to establish a threat-judgment model with high reliability in the airdefense system for the naval warships. Air target threat level judgment is an important component in naval warship com-bat command decision-making systems. According to the threat level judgment of air targets during the air defense of sin-gle naval warship, a fuzzy pattern recognition model for judging the threat from air targets is established. Then an algo-rithm for identifying the parameters in the model is presented. The model has an adaptive feature and can dynamicallyupdate its parameters according to the state change of the attacking targets and the environment. The method presentedhere can be used for the air defense system threat judgment in the naval warships.
文摘The method of empirical mode decomposition(EMD) was used for the signal processing and featureing of acoustic target of battle field. According to the signal's characteristics of different targets, some feature vectors in token of the target properties were constructed and abstracted. In the basis of feature abstracting and statistic analysis for large amount of sample signal of the targets, using the maximum subjection classification method based on the fuzzy synthesis judgment, the three typical acoustic target helicopter, tank and traffic vehicle were recognized.
文摘In order to perform better in target control, this paper proposed a decision-making system method based on fuzzy automata. The decision-making system first preprocessed the signal and then performed a two-level decision on the target to achieve optimal control. The system consisted of four parts: signal preprocessing, contrast decision-making, comprehensive judgment of decision-making and decision-making result. These decision algorithms in target control were given. A concrete application of this decision-making system in target control was described. Being compared with other existing methods, this paper used both global features and local features of target, and used the decision-making system of fuzzy automata for the target control. Simulation results showed that the control effect based on the decision-making system was better than that of the other existing methods. Not only it was faster, but also its correct control rate was higher to be 95.18% for the target control. This research on the control system not only developed the FA theory, but also strengthened its application scope in the field of control engineering.
文摘通过用有意义联系和无意义联系的两种中文词对作为识记材料，在以前实验研究基础上，进一步验证关于FOK（Feeling of Knowing）产生机制的两种理论假说，即靶项目记忆强度假说（或靶项目提取可能性假说）与线索熟悉性假说。实验结果表明，靶项目记忆强度和线索熟悉性程度都能决定FOK判断等级的高低，说明两种假说并非绝对对立，非此既彼。但此二因素都需达到一定程度，才能显著影响FOK判断等级的高低。
