DocumentCode :
2765162
Title :
Knowledge Discovery from Multidisciplinary Simulation to Support Concurrent and Collaborative Design
Author :
Jie Hu ; Jilong Yin ; Yinghong Peng ; Dayong Li
Author_Institution :
Sch. of Mech. Eng., Shanghai Jiao Tong Univ.
fYear :
2006
fDate :
3-5 May 2006
Firstpage :
1
Lastpage :
6
Abstract :
Knowledge-based engineering (KBE) and simulation analysis have been used widely in multidisciplinary concurrent and collaborative design process. However, the acquisition of knowledge keeps bottleneck yet in building knowledge base in KBE. In this paper, a framework of knowledge discovery from multidisciplinary simulation data is proposed. Correspondingly, a data mining algorithm named fuzzy-rough algorithm is developed to deal with the simulation data by combining the fuzzy set theory and rough set theory. The proposed knowledge discovery process is applied respectively to obtain some useful, implicit production rules with efficient measure. Finally, the method is demonstrated by a metal forming simulation problem. The results prove that knowledge discovery from simulation data is feasible, and the proposed method can be applied in other disciplinary simulation
Keywords :
CAD/CAM; concurrent engineering; data mining; digital simulation; fuzzy set theory; groupware; knowledge based systems; rough set theory; collaborative design; concurrent design process; data mining algorithm; fuzzy set theory; fuzzy-rough algorithm; knowledge acquisition; knowledge base; knowledge discovery; knowledge-based engineering; multidisciplinary simulation; rough set theory; Analytical models; Buildings; Collaboration; Data mining; Design engineering; Fuzzy set theory; Knowledge engineering; Process design; Production; Set theory; Concurrent and Collaborative Design; Knowledge Discovery; Multidisciplinary; Simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Supported Cooperative Work in Design, 2006. CSCWD '06. 10th International Conference on
Conference_Location :
Nanjing
Print_ISBN :
1-4244-0164-X
Electronic_ISBN :
1-4244-0165-8
Type :
conf
DOI :
10.1109/CSCWD.2006.253177
Filename :
4019213
Link To Document :
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