关键词: 范例推理, 产生式推理, 评估树, 飞行器评估

Abstract: To solve the problem in the aerocraft assessment task, which includes the amount of data is huge, the assessment process is complex, and the conclusion of the assessment is inaccurate, an aircraft assessment system based on hybrid reasoning model is proposed. The system comprises a plurality of independent module on function, and completes reasoning and searching results from the original data of aerocraft to final assessment conclusion. This paper presents assessment tree and trigger point mechanism, in order to meet real-time requirements. According to the characteristics of the aircraft assessment, the top-facts are get using case-based reasoning to fully utilize its non-precise reasoning and self-learning advantages; reasoning in the assessment stage is use of accurate and efficient rule-based inference mechanism. Practical examples using historical data show that, the proposed assessment system performs very well, and can real-time complete aerocraft assement, and the whole process is automatic.

Key words: case-based reasoning, rule-based inference, assessment tree, aerocraft assessment