Proceedings of the Sixth Symposium of Risk Analysis and Risk Management in Western China (WRARM 2019)

Evaluation on Big Data Industry Development Level Based on Hesitant Fuzzy Linguistic TOPSIS Method

Authors
Lujing Pang, Mu Zhang
Corresponding Author
Lujing Pang
Available Online September 2019.
DOI
https://doi.org/10.2991/wrarm-19.2019.12How to use a DOI?
Keywords
Big Data Industry; Development Level of Big Data Industry; Baidu Index; Hesitative Fuzzy Linguistic Term Set; TOPSIS Method
Abstract

Reasonable and effective evaluation of the development level of big data industry is conducive to promoting the development of big data in an all-round way and speeding up the construction of a data power. In view of the insufficient information of the existing index system and the lack of fuzziness and hesitation in evaluation methods, this paper introduces Baidu search index to construct the evaluation index system of provincial large data industry development level from five aspects: industrial scale, product type, investment attraction, infrastructure and industrial influence; and chooses 2013-2017. Based on the original data of annual indicators, this paper evaluates the development level of big data industry in China by using TOPSIS method. The empirical results show that the big data industry in China is in the stage of continuous development in terms of time, and that in terms of space, Guangdong and Jiangsu have relatively high level of development, ranking first and second in the country respectively. During the sample period, the national big data industry is in a state of continuous development, but there is an imbalance in regional development.

Copyright
© 2019, 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 Sixth Symposium of Risk Analysis and Risk Management in Western China (WRARM 2019)
Series
Advances in Intelligent Systems Research
Publication Date
September 2019
ISBN
978-94-6252-793-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/wrarm-19.2019.12How to use a DOI?
Copyright
© 2019, 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  - Lujing Pang
AU  - Mu Zhang
PY  - 2019/09
DA  - 2019/09
TI  - Evaluation on Big Data Industry Development Level Based on Hesitant Fuzzy Linguistic TOPSIS Method
BT  - Proceedings of the Sixth Symposium of Risk Analysis and Risk Management in Western China (WRARM 2019)
PB  - Atlantis Press
SP  - 63
EP  - 68
SN  - 1951-6851
UR  - https://doi.org/10.2991/wrarm-19.2019.12
DO  - https://doi.org/10.2991/wrarm-19.2019.12
ID  - Pang2019/09
ER  -