A method of case adaptation for variant design integrating data mining
Case-based reasoning has proven to be a promising methodology for obtaining new mechanical products by adapting previous cases. However, case adaptation is still a bottleneck in case-based reasoning. The key issue in case adaptation is acquiring the adaptation knowledge. To realize the automation of...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2017-12-01
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| Series: | Advances in Mechanical Engineering |
| Online Access: | https://doi.org/10.1177/1687814017742825 |
| _version_ | 1811204137616932864 |
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| author | Rongzhen Xu Qi Gao Xinyue Li |
| author_facet | Rongzhen Xu Qi Gao Xinyue Li |
| author_sort | Rongzhen Xu |
| collection | DOAJ |
| description | Case-based reasoning has proven to be a promising methodology for obtaining new mechanical products by adapting previous cases. However, case adaptation is still a bottleneck in case-based reasoning. The key issue in case adaptation is acquiring the adaptation knowledge. To realize the automation of case adaptation for variant design, a novel case adaptation method is proposed. The method consists of two parts. In the first part, a data mining technique is introduced to acquire the adaptation rules that reflect the relationship between the changes in design requirements and design results. In the second part, the most similar case is retrieved by first using the adaptation rules to weight the design requirements. Then, suitable adaptation rules are selected and used to realize the case adaptation. To validate the proposed method, two experiments are performed. The results show that our method outperforms other methods when the design requirements and design results have both numerical and categorical attributes. |
| first_indexed | 2024-04-12T03:06:24Z |
| format | Article |
| id | doaj.art-809c539a34d049828dbac9709063b360 |
| institution | Directory Open Access Journal |
| issn | 1687-8140 |
| language | English |
| last_indexed | 2024-04-12T03:06:24Z |
| publishDate | 2017-12-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Advances in Mechanical Engineering |
| spelling | doaj.art-809c539a34d049828dbac9709063b3602022-12-22T03:50:29ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402017-12-01910.1177/1687814017742825A method of case adaptation for variant design integrating data miningRongzhen Xu0Qi Gao1Xinyue Li2School of Mechanical Engineering, Shandong University, Jinan, ChinaSchool of Mechanical Engineering, Shandong University, Jinan, ChinaSchool of Mechanical Engineering, Shandong University, Jinan, ChinaCase-based reasoning has proven to be a promising methodology for obtaining new mechanical products by adapting previous cases. However, case adaptation is still a bottleneck in case-based reasoning. The key issue in case adaptation is acquiring the adaptation knowledge. To realize the automation of case adaptation for variant design, a novel case adaptation method is proposed. The method consists of two parts. In the first part, a data mining technique is introduced to acquire the adaptation rules that reflect the relationship between the changes in design requirements and design results. In the second part, the most similar case is retrieved by first using the adaptation rules to weight the design requirements. Then, suitable adaptation rules are selected and used to realize the case adaptation. To validate the proposed method, two experiments are performed. The results show that our method outperforms other methods when the design requirements and design results have both numerical and categorical attributes.https://doi.org/10.1177/1687814017742825 |
| spellingShingle | Rongzhen Xu Qi Gao Xinyue Li A method of case adaptation for variant design integrating data mining Advances in Mechanical Engineering |
| title | A method of case adaptation for variant design integrating data mining |
| title_full | A method of case adaptation for variant design integrating data mining |
| title_fullStr | A method of case adaptation for variant design integrating data mining |
| title_full_unstemmed | A method of case adaptation for variant design integrating data mining |
| title_short | A method of case adaptation for variant design integrating data mining |
| title_sort | method of case adaptation for variant design integrating data mining |
| url | https://doi.org/10.1177/1687814017742825 |
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