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

Abstract : 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.
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Communication dans un congrès
Daoliang Li; Yingyi Chen. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-368 (Part I), pp.16-27, 2012, Computer and Computing Technologies in Agriculture V. 〈10.1007/978-3-642-27281-3_3〉
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Rong Dai, Xiangmin Duan. Research on Knowledge Acquisition of Motorcycle Intelligent Design System Based on Rough Set. Daoliang Li; Yingyi Chen. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-368 (Part I), pp.16-27, 2012, Computer and Computing Technologies in Agriculture V. 〈10.1007/978-3-642-27281-3_3〉. 〈hal-01351784〉

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