Title :
A Self-Cognitive Algorithm Applied in Product Conceptual Design
Author :
Zhen Peng ; Wu, Lifeng ; Du, Xingjing
Author_Institution :
Dept. of Comput., North China Inst. of Sci. & Technol., Beijing, China
Abstract :
Product conceptual design is a first and crucial phase in product innovation design. In order to improve the intelligence in product conceptual design process, the paper researched product conceptual design and itpsilas process, proposed a self-cognitive algorithm of knowledge discovery in database (KDD) and applied it in product conceptual design. The algorithm was based on rule based fuzzy cognitive map (RBFCM) and constructed to directional mine design process knowledge automatically in massive database.Therefore, the self-cognitive process greatly reduced the searching space and the complexity of the algorithm so as to enhance the automation degree of conceptual design and overcome the defects of expertise.
Keywords :
data mining; design engineering; production engineering computing; knowledge discovery in database; product conceptual design; product innovation; rule based fuzzy cognitive map; self-cognitive algorithm; Algorithm design and analysis; Databases; Design automation; Fuzzy cognitive maps; Inference algorithms; Manufacturing automation; Process design; Product design; Technological innovation; Telecommunication computing; Product conceptual design; knowledge discovery in databass (KDD); rule based fuzzy cognitive map (RBFCM); self-cognitive process;
Conference_Titel :
Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3645-3
DOI :
10.1109/CINC.2009.167
