Proceedings of the 4th International Conference on Information Technology and Management Innovation

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Study on Electric Power Enterprise Operation Risk Measurement Based on Blind Number Theory

Authors
Fusen Zhong, Shenyou Zhang
Corresponding Author
Fusen Zhong
Available Online October 2015.
DOI
10.2991/icitmi-15.2015.104How to use a DOI?
Keywords
Power Enterprise; Factor Analysis Method; Blind Number Analysis; Operational Risk.
Abstract

This study adopts questionnaire survey to analyze and comb operational risk of the electric power enterprise, and construct the index system of operational risk of electric power enterprise. Then adopt the factor analysis method and blind number theory to screen and quantify the key indicators of operational risk.

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 4th International Conference on Information Technology and Management Innovation
Series
Advances in Computer Science Research
Publication Date
October 2015
ISBN
10.2991/icitmi-15.2015.104
ISSN
2352-538X
DOI
10.2991/icitmi-15.2015.104How 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

risenwbib
TY  - CONF
AU  - Fusen Zhong
AU  - Shenyou Zhang
PY  - 2015/10
DA  - 2015/10
TI  - Study on Electric Power Enterprise Operation Risk Measurement Based on Blind Number Theory
BT  - Proceedings of the 4th International Conference on Information Technology and Management Innovation
PB  - Atlantis Press
SP  - 631
EP  - 639
SN  - 2352-538X
UR  - https://doi.org/10.2991/icitmi-15.2015.104
DO  - 10.2991/icitmi-15.2015.104
ID  - Zhong2015/10
ER  -