Proceedings of the 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)

Effectiveness evaluation of data link based on the improved grey interval correlation degree

Authors
Tao Jia, Weibin Zhao, Guoqing Huang
Corresponding Author
Tao Jia
Available Online November 2016.
DOI
https://doi.org/10.2991/aest-16.2016.10How to use a DOI?
Keywords
data link; index system; grey interval correlation degree; effectiveness evaluation; combination weighting.
Abstract
To solve the problem of the fuzzy multiple attribute decision making, the improved grey interval correlation degree was proposed. In the improved method, the attribute values took the form of the interval numbers; it proposed an algorithm for comparing the size of interval numbers and used the combination weighting method to make the weights more reasonable. To evaluate the effectiveness of the system, the concrete steps of the improved method were given. It used analytic hierarchy process (AHP) and Delphi method to establish the scientific and reasonable index system of data link. An example was analyzed and the results show that the improved method is reasonable and feasible. The improved method can be used to rank the limited projects and select the optimal one through dealing with the interval numbers.
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Proceedings
2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
978-94-6252-257-2
ISSN
1951-6851
DOI
https://doi.org/10.2991/aest-16.2016.10How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Tao Jia
AU  - Weibin Zhao
AU  - Guoqing Huang
PY  - 2016/11
DA  - 2016/11
TI  - Effectiveness evaluation of data link based on the improved grey interval correlation degree
BT  - 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)
PB  - Atlantis Press
SP  - 80
EP  - 85
SN  - 1951-6851
UR  - https://doi.org/10.2991/aest-16.2016.10
DO  - https://doi.org/10.2991/aest-16.2016.10
ID  - Jia2016/11
ER  -