基于粗糙集的机械产品绿色设计知识更新
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摘要
为适时地对机械产品绿色设计知识进行新旧更替以满足现代产品设计的绿色需求,基于本体思想对机械产品绿色设计知识进行表达,通过粗糙集构建机械产品绿色设计知识决策表,提取机械产品绿色设计知识规则,形成机械产品绿色设计规则集;结合设计人员的知识需求,通过绿色设计知识规则匹配,实现机械产品绿色设计过程中知识的更新换代。最后以活塞的绿色设计知识更新过程的研究为例,验证了该方法的有效性。
In order to meet the green demands of modern product design, it is particularly important to update the knowledges of mechanical product green design in time. Based on ontology, the green design knowledges of mechanical products were expressed and the decision tables of green design knowledges of mechanical products were built through rough sets. The rules of green product design knowledges were extracted and the rule set of green design knowledges of mechanical products was established. Combined with the knowledge needs of designers, the knowledge update in the mechanical product green design processes was realized through the matching of green design knowledge rules. Finally, the proposed methodology was successfully applied to the piston green design knowledge processes update.
In order to meet the green demands of modern product design, it is particularly important to update the knowledges of mechanical product green design in time. Based on ontology, the green design knowledges of mechanical products were expressed and the decision tables of green design knowledges of mechanical products were built through rough sets. The rules of green product design knowledges were extracted and the rule set of green design knowledges of mechanical products was established. Combined with the knowledge needs of designers, the knowledge update in the mechanical product green design processes was realized through the matching of green design knowledge rules. Finally, the proposed methodology was successfully applied to the piston green design knowledge processes update.
引文
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[8] 史博文,李国和,吴卫江,等.基于强化正域的属性约简方法[J].计算机应用研究,2017,34(1):107-109.SHI Bowen,LI Guohe,WU Weijiang,et al. Attribute Reduction Method Based on Enhanced Positive Domain[J]. Application Research of Computers,2017,34(1):107-109.
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[11] WU Xingdong,URPANI D. Induction by Attribute Elimination[J]. IEEE Transactions on Knowledge & Data Engineering,1999,11(5):805-812.
[2] HATZILYGEROUDIS I,PRENTZAS J. Using a Hybrid Rule-based Approach in Developing an Intelligent Tutoring System with Knowledge Acquisition and Update Capabilities[J]. Expert Systems with Applications,2004,26(4):477-492.
[3] XU J,QIU L M,ZHANG S Y. Progressive Product Configuration Design Technology Based on Knowledge Feedback[J].Computer Integrated Manufacturing Systems,2011,17(6):1135-1143.
[4] 陈继文,杨红娟,董明晓,等.基于本体语义块相似匹配的设计知识更新[J].机械工程学报,2014,50(7):161-167.CHEN Jiwen,YANG Hongjuan,DONG Mingxiao,et al. Update of Design Knowledge Based on Similarity Matching of Ontology Semantic Blocks[J]. Journal of Mechanical Engineering,2014,50(7):161-167.
[5] PAWLAK Z. Rough Sets: Theoretical Aspects of Reasoning about Data[M]. Holland: Kluwer Academic Publishers, 1992.
[6] LI J H,MEI C L,LYU Y J. A Heuristic Knowledge-reduction Method for Decision Formal Contexts [J] .Computers & Mathematics with Applications,2011,61(4):1096-1106.
[7] LI Zhenquan. Suitability of Fuzzy Reasoning Methods[J]. Fuzzy Sets & Systems,1999,108(3):299-311.
[8] 史博文,李国和,吴卫江,等.基于强化正域的属性约简方法[J].计算机应用研究,2017,34(1):107-109.SHI Bowen,LI Guohe,WU Weijiang,et al. Attribute Reduction Method Based on Enhanced Positive Domain[J]. Application Research of Computers,2017,34(1):107-109.
[9] 代建华,潘云鹤.一种基于分类一致性的决策规则获取算法[J].控制与决策,2004, 19(10):1086-1090.DAI Jianhua,PAN Yunhe. A Decision Rules Acquisition Algorithm Based on Classification Consistency[J]. Control and Decision,2004,19(10):1086-1090.
[10] 卢新元, 高沛然, 周茜. 基于粗糙集分类一致性的规则挖掘算法研究——以IT外包中知识转移风险[J]. 计算机工程与应用, 2013,49(6):217-220.LU Xinyuan,GAO Peiran,ZHOU Qian. Research on Rule Mining Algorithm Based on Coherence of Rough Sets Classification—The Risk of Knowledge Transfer in IT Outsourcing[J]. Computer Engineering and Applications,2013,49(6):217-220.
[11] WU Xingdong,URPANI D. Induction by Attribute Elimination[J]. IEEE Transactions on Knowledge & Data Engineering,1999,11(5):805-812.