Proceedings of the 2016 4th International Conference on Mechanical Materials and Manufacturing Engineering

Fuzzy comprehensive evaluation of the factors affecting the data quality of power system

Authors
Yu Song, Yafei Jiao
Corresponding Author
Yu Song
Available Online October 2016.
DOI
10.2991/mmme-16.2016.81How to use a DOI?
Keywords
data quality; power system; fuzzy analytical hierarchy process; index weight
Abstract

With the development of information technology, large scale intelligent information system has been widely used in the field of electric power enterprise management. This paper combines data quality characteristics and the significant problems that power system faces with, Constructing the index system of quality evaluation of power system data, using fuzzy analytical hierarchy process (FAHP) to calculation index weight .Finally, in the end, an example is given to illustrate the level of index system.

Copyright
© 2016, 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 2016 4th International Conference on Mechanical Materials and Manufacturing Engineering
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
978-94-6252-221-3
ISSN
2352-5401
DOI
10.2991/mmme-16.2016.81How to use a DOI?
Copyright
© 2016, 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  - Yu Song
AU  - Yafei Jiao
PY  - 2016/10
DA  - 2016/10
TI  - Fuzzy comprehensive evaluation of the factors affecting the data quality of power system
BT  - Proceedings of the 2016 4th International Conference on Mechanical Materials and Manufacturing Engineering
PB  - Atlantis Press
SP  - 359
EP  - 362
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmme-16.2016.81
DO  - 10.2991/mmme-16.2016.81
ID  - Song2016/10
ER  -