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

Volume

1

fYear

2009

fDate

6-7 June 2009

Firstpage

225

Lastpage

227

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-0-7695-3645-3

Type

conf

DOI

10.1109/CINC.2009.167

Filename

5231158