Proceedings of the 2015 International conference on Engineering Management, Engineering Education and Information Technology

A GM(1,N) Approach to the Pricing of Auto Production in China

Authors
Zhaoyan Wang
Corresponding Author
Zhaoyan Wang
Available Online November 2015.
DOI
https://doi.org/10.2991/emeeit-15.2015.77How to use a DOI?
Keywords
auto production; pricing method; grey correlation analysis; GM(1,N) model.
Abstract

The study of pricing method of auto production has very important significance to analyze auto market and make strategic decision. The paper considers the current research status of pricing method of auto production, analysis the factors which influence the price of auto production, and proposes GM(1,N) model to the pricing of auto production in china. Through empirical research, we can find that this method can effectively use the limited data to construct the pricing model of auto production and is more exact than traditional method.

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/).

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Volume Title
Proceedings of the 2015 International conference on Engineering Management, Engineering Education and Information Technology
Series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
978-94-6252-121-6
ISSN
2352-538X
DOI
https://doi.org/10.2991/emeeit-15.2015.77How 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  - Zhaoyan Wang
PY  - 2015/11
DA  - 2015/11
TI  - A GM(1,N) Approach to the Pricing of Auto Production in China
BT  - Proceedings of the 2015 International conference on Engineering Management, Engineering Education and Information Technology
PB  - Atlantis Press
SP  - 398
EP  - 403
SN  - 2352-538X
UR  - https://doi.org/10.2991/emeeit-15.2015.77
DO  - https://doi.org/10.2991/emeeit-15.2015.77
ID  - Wang2015/11
ER  -