DocumentCode
1595393
Title
Extended Case-Based Reasoning for Intelligent System Configuration
Author
Feng-Jun, Hu ; Shui-Ying, Chai ; Zhen, Xu ; Ping, Sun
Author_Institution
Modern Educ. Technol. Center, Zhejiang Shuren Univ., Hangzhou, China
Volume
3
fYear
2010
Firstpage
307
Lastpage
309
Abstract
To finish the system configuration quickly, the paper proposes an extended case-based reasoning for product configuration design. With matter-elements, reasoning model of extended case-based reasoning (ECBR), the similar degree between different parts can be calculated seriously. During the configuration design, the solution space of configuration schemes is obtained by the similarity calculation, and then the overall evaluation of similarity and compatible degrees is adopted to form the final configuration scheme. Based on the method, a prototype system of reducer configuration design is successfully developed, and it proves the proposed method that is feasible and effective.
Keywords
case-based reasoning; product customisation; product design; systems analysis; extended case-based reasoning; intelligent system configuration; product configuration design; reasoning model; reducer configuration design; Computational modeling; Computer science education; Computer simulation; Educational products; Educational technology; Intelligent systems; Mass customization; Paper technology; Product design; Prototypes; extended case-based reasoning; interface relationship; structure matter-element; system configuration;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Modeling and Simulation, 2010. ICCMS '10. Second International Conference on
Conference_Location
Sanya, Hainan
Print_ISBN
978-1-4244-5642-0
Electronic_ISBN
978-1-4244-5643-7
Type
conf
DOI
10.1109/ICCMS.2010.434
Filename
5421232
Link To Document