Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics

Fuzzy Optimization Research of Product Design Improvement Based on C #

Authors
Hui Kang, Yong Wang, Shuo Zhou
Corresponding Author
Hui Kang
Available Online April 2015.
DOI
10.2991/ameii-15.2015.238How to use a DOI?
Keywords
product design improvements; fuzzy comprehensive evaluation; C #.
Abstract

The purpose of the research is using fuzzy comprehensive evaluation rule of fuzzy optimization method to assess the weights of the product indicators and then improve the product design according to the optimization results. First, we selected an appropriate fuzzy optimization method and established a mathematical model of fuzzy optimization according to the actual requirements of the design. Then we obtain the optimal solution of fuzzy optimal design by computer and improved the indicators of the product. Finally we got a new design. The fuzzy optimization design can improve the design of product. C # plays a significant role due to the powerful ability of processing large amounts of data.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
Series
Advances in Engineering Research
Publication Date
April 2015
ISBN
10.2991/ameii-15.2015.238
ISSN
2352-5401
DOI
10.2991/ameii-15.2015.238How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Hui Kang
AU  - Yong Wang
AU  - Shuo Zhou
PY  - 2015/04
DA  - 2015/04
TI  - Fuzzy Optimization Research of Product Design Improvement Based on C #
BT  - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
PB  - Atlantis Press
SP  - 1293
EP  - 1295
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-15.2015.238
DO  - 10.2991/ameii-15.2015.238
ID  - Kang2015/04
ER  -