Proceedings of the 2017 4th International Conference on Machinery, Materials and Computer (MACMC 2017)

Research on Comprehensive Evaluation of Customer Satisfaction of Computer Products

Authors
Jimin Gao
Corresponding Author
Jimin Gao
Available Online January 2018.
DOI
10.2991/macmc-17.2018.124How to use a DOI?
Keywords
Computer products, Customer satisfaction, Fuzzy hierarchical analytical evaluation method
Abstract

Through the research on the characteristics of computer products, this paper constructs the customer satisfaction evaluation model of computer products. Based on the statistics and analysis of data, the evaluation of customer satisfaction of computer products is obtained by using fuzzy comprehensive evaluation method. On this basis, this paper analyzes how enterprises can improve customer satisfaction, and then the strategy and methods of winning more customers are gained, which provides a reference for enhancing the market competitiveness of computer enterprises in China.

Copyright
© 2018, 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 2017 4th International Conference on Machinery, Materials and Computer (MACMC 2017)
Series
Advances in Engineering Research
Publication Date
January 2018
ISBN
978-94-6252-439-2
ISSN
2352-5401
DOI
10.2991/macmc-17.2018.124How to use a DOI?
Copyright
© 2018, 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  - Jimin Gao
PY  - 2018/01
DA  - 2018/01
TI  - Research on Comprehensive Evaluation of Customer Satisfaction of Computer Products
BT  - Proceedings of the 2017 4th International Conference on Machinery, Materials and Computer (MACMC 2017)
PB  - Atlantis Press
SP  - 660
EP  - 664
SN  - 2352-5401
UR  - https://doi.org/10.2991/macmc-17.2018.124
DO  - 10.2991/macmc-17.2018.124
ID  - Gao2018/01
ER  -