Proceedings of the 2015 International Conference on Computational Science and Engineering

Research on Assessment of Electric Power Company’s Credit Capacity Based on AHP and Entropy Weight

Authors
Lin Jiao, Cong Zhao, Qiaosha Li
Corresponding Author
Lin Jiao
Available Online July 2015.
DOI
10.2991/iccse-15.2015.33How to use a DOI?
Keywords
Credit capacity; Analytic hierarchy process (AHP); Entropy weight
Abstract

Evaluating the credit capacity of electric power enterprises not only need to reflect the value of the index information conveyed, but also consider the analyst's subjective judgment. This paper combined the weights which respectively reflect the information of these two parts. Distance integrated evaluation method is also used in this paper to calculate the evaluation results, which can make the decision more consistent with the practical decision process. A specific example demonstrates the proposed method is practical, feasible and effective.

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 2015 International Conference on Computational Science and Engineering
Series
Advances in Computer Science Research
Publication Date
July 2015
ISBN
978-94-62520-89-9
ISSN
2352-538X
DOI
10.2991/iccse-15.2015.33How 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

TY  - CONF
AU  - Lin Jiao
AU  - Cong Zhao
AU  - Qiaosha Li
PY  - 2015/07
DA  - 2015/07
TI  - Research on Assessment of Electric Power Company’s Credit Capacity Based on AHP and Entropy Weight
BT  - Proceedings of the 2015 International Conference on Computational Science and Engineering
PB  - Atlantis Press
SP  - 189
EP  - 193
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccse-15.2015.33
DO  - 10.2991/iccse-15.2015.33
ID  - Jiao2015/07
ER  -