Proceedings of the 2016 2nd International Conference on Economics, Management Engineering and Education Technology (ICEMEET 2016)

Training Evaluation of Vocational Qualification for the Skilled Talents Based on AHP

Authors
Tiegang Li, Chen Zhan
Corresponding Author
Tiegang Li
Available Online January 2017.
DOI
10.2991/icemeet-16.2017.192How to use a DOI?
Keywords
Skilled talent; training evaluation; Analytic Hierarchy Process (AHP); Fuzzy Evaluation
Abstract

Aiming at uncertainty and complexity of training evaluation in vocational qualification for the skilled talents, the paper introduced a index system that applied The Analytic Hierarchy Process (AHP) to establish the evaluation model, the problem of construction, weight selection and satisfying consistency of judgment matrix is discussed. By means of the examples the students' ability are evaluated, meanwhile the feasibility of the proposed method applying process decision making is verified.

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 2016 2nd International Conference on Economics, Management Engineering and Education Technology (ICEMEET 2016)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
January 2017
ISBN
978-94-6252-288-6
ISSN
2352-5398
DOI
10.2991/icemeet-16.2017.192How 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  - Tiegang Li
AU  - Chen Zhan
PY  - 2017/01
DA  - 2017/01
TI  - Training Evaluation of Vocational Qualification for the Skilled Talents Based on AHP
BT  - Proceedings of the 2016 2nd International Conference on Economics, Management Engineering and Education Technology (ICEMEET 2016)
PB  - Atlantis Press
SP  - 923
EP  - 927
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemeet-16.2017.192
DO  - 10.2991/icemeet-16.2017.192
ID  - Li2017/01
ER  -