Proceedings of the Fifth Symposium of Risk Analysis and Risk Management in Western China (WRARM 2017)

Study on Measurement Level of Financial Agglomeration Level of Prefecture Level Cities in Guizhou Based on Grey Relational Projection Method

Authors
Li Dong, Mu Zhang
Corresponding Author
Li Dong
Available Online November 2017.
DOI
10.2991/wrarm-17.2017.63How to use a DOI?
Keywords
The grey system theory; The vector projection principle; The financial agglomeration level
Abstract

Based on the grey system theory and vector projection principle, this paper studied on the financial agglomeration level evaluation of the nine prefectures in Guizhou Province, which established the evaluation index system and adopted the grey relation projection method. The grey relation projection model takes these prefectures and the corresponding indexes as vectors which was projected to the same vector-----the best decision scheme. According to the size of the projection value, the level of financial agglomeration in each area is determined.

Copyright
© 2017, 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 Fifth Symposium of Risk Analysis and Risk Management in Western China (WRARM 2017)
Series
Advances in Intelligent Systems Research
Publication Date
November 2017
ISBN
978-94-6252-429-3
ISSN
1951-6851
DOI
10.2991/wrarm-17.2017.63How to use a DOI?
Copyright
© 2017, 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  - Li Dong
AU  - Mu Zhang
PY  - 2017/11
DA  - 2017/11
TI  - Study on Measurement Level of Financial Agglomeration Level of Prefecture Level Cities in Guizhou Based on Grey Relational Projection Method
BT  - Proceedings of the Fifth Symposium of Risk Analysis and Risk Management in Western China (WRARM 2017)
PB  - Atlantis Press
SP  - 363
EP  - 368
SN  - 1951-6851
UR  - https://doi.org/10.2991/wrarm-17.2017.63
DO  - 10.2991/wrarm-17.2017.63
ID  - Dong2017/11
ER  -