A Fuzzy Case-based Reasoning Method and Its Applications in Product Design

Author

Li, Zhigang ; Li, Lingling ; Zhang, Huijuan ; Zhao, Quanming

Author_Institution

Province-Minist. Joint Key Lab. of Electromagn. Field & Electr. Apparatus Reliability, Hebei Univ. of Technol., Tianjin

Volume

1

fYear

0

fDate

0-0 0

Firstpage

2555

Lastpage

2560

Abstract

The case-based reasoning (CBR) method was proposed by combining product function, structure and behavior with technical parameters in product design field. With the co-existing of certainty and uncertainty in design information, a fuzzy similarity degree function was established to process the two kinds of design information above by taking the ordinary real number as special kind of fuzzy number. In case matching, the attribute values of the case were represented into fuzzy numbers, and then the fuzzy similarity degree of each case and the problem to be solved was calculated by using the fuzzy similarity degree function. The fuzzy similarity degree function can also be used in fuzzy recognition. The representation, indexing, organizing and management of case was discussed

Keywords

case-based reasoning; fuzzy set theory; product design; case indexing; case management; case organization; case representation; design information; fuzzy case-based reasoning; fuzzy recognition; fuzzy similarity degree function; product behavior; product design; product function; product structure; technical parameters; Design automation; Electromagnetic fields; Fuzzy control; Fuzzy reasoning; Indexing; Intelligent control; Organizing; Product design; Uncertainty; CBR; case matching; fuzzy similarity degree function; product design;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1712823

Filename

1712823