DocumentCode
352665
Title
ANN-driven fuzzy reasoning model of product green attributes
Author
Zhifeng, Liu ; Xueping, Liu ; Guangfu, Liu
Author_Institution
Hefei Univ. of Technol., China
Volume
1
fYear
2000
fDate
2000
Firstpage
146
Abstract
According to expert judgement, the main influencing factors on product green attributes are obtained by the analytic hierarchy process (AHP) in the paper. An ANN-driven fuzzy reasoning model of product green attributes is developed. The results of the relation between product green attributes and its influencing factors obtained from experts are used as sample set and the ANN can be trained by the sample set. The expert´s idea can been refined from the model by the trained system so as to use it to assess product green attributes. An example is given in the paper and a good result is achieved in material attribute assessment
Keywords
design for environment; fuzzy logic; inference mechanisms; neural nets; product development; ANN-driven fuzzy reasoning model; analytic hierarchy process; expert judgement; influencing factors; material attribute assessment; product green attributes; Fuzzy reasoning; Refining;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location
Hefei
Print_ISBN
0-7803-5995-X
Type
conf
DOI
10.1109/WCICA.2000.859936
Filename
859936
Link To Document