Proceedings of the 2018 5th International Conference on Education, Management, Arts, Economics and Social Science (ICEMAESS 2018)

Research on research performance evaluation based on Particle swarm TOPSIS Altmetrics method

Authors
Jing Li, Jianming Sun
Corresponding Author
Jing Li
Available Online November 2018.
DOI
https://doi.org/10.2991/icemaess-18.2018.46How to use a DOI?
Keywords
Altmetrics; TOPSIS; Particle swarm; performance appraisal
Abstract

In this paper, the particle swarm optimization algorithm and the improved TOPSIS method are combined to construct a model of the particle swarm TOPSIS alternative econometric method, which is used in the research of scientific research performance. Particle swarm optimization is introduced to determine the weights of scientific research personnel. The research achievements of H University researchers are evaluated. The experiments were compared longitudinally, horizontally, and comprehensively.

Copyright
© 2018, 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 2018 5th International Conference on Education, Management, Arts, Economics and Social Science (ICEMAESS 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
November 2018
ISBN
978-94-6252-617-4
ISSN
2352-5398
DOI
https://doi.org/10.2991/icemaess-18.2018.46How to use a DOI?
Copyright
© 2018, 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  - Jing Li
AU  - Jianming Sun
PY  - 2018/11
DA  - 2018/11
TI  - Research on research performance evaluation based on Particle swarm TOPSIS Altmetrics method
BT  - Proceedings of the 2018 5th International Conference on Education, Management, Arts, Economics and Social Science (ICEMAESS 2018)
PB  - Atlantis Press
SP  - 219
EP  - 222
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemaess-18.2018.46
DO  - https://doi.org/10.2991/icemaess-18.2018.46
ID  - Li2018/11
ER  -