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Research on Knowledge Acquisition of Motorcycle Intelligent Design System Based on Rough Set

机译:基于粗糙集的摩托车智能设计系统知识获取研究

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In the intelligent design of motorcycle, a large number of data in the simulation or physical experiment are almost not utilized to guide our design and make decision for the design, so rough set theory is introduced to the intelligent design of motorcycle. Then, aim at experimental data of the engine piston performance, rough set theory is used. An attribute reduction algorithm of decision table based on discernibility matrix and heuristic value reduction algorithm are adopted. Knowledge is extracted from the data of performance experiment of the engine piston, in order to enrich knowledge base in motorcycle intelligent design system.
机译:在摩托车的智能设计中,几乎没有利用仿真或物理实验中的大量数据来指导我们的设计和设计决策,因此将粗糙集理论引入了摩托车的智能设计中。然后,针对发动机活塞性能的实验数据,采用粗糙集理论。采用了基于可分辨矩阵的决策表属性约简算法和启发式值约简算法。从发动机活塞的性能实验数据中提取知识,以丰富摩托车智能设计系统的知识基础。

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