By Topic

ANN-driven fuzzy reasoning model of product green attributes

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Liu Zhifeng ; Hefei Univ. of Technol., China ; Liu Xueping ; Liu Guangfu

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

Published in:

Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on  (Volume:1 )

Date of Conference:

2000