Research on scientific research performance evaluation based on IAHP-ICRITIC combined weighting

In the field of scientific research, performance evaluation is a complex task with common and typical characteristics of the industry. Reasonable and effective performance evaluation can help motivate scientific researchers and optimize resource allocation. In order to give a reasonable performance distribution plan, it is necessary to evaluate the scientific research results of each employee first. Considering that the indicator data in the attachment are all positive indicators, the extreme value standardization method is first used to standardize the data. Then, the subjective indicator weights are obtained by the interval hierarchical analysis method, and the objective indicator weights are obtained by the improved CRITIC method. Based on the idea of ​​game theory, the combined weight value of the subjective and objective weights is obtained by solving the Nash equilibrium point. Finally, the performance scores of 20 scientific researchers are calculated according to the weights of each indicator, and the total bonus is distributed according to the performance score ratio. The first worker received the highest bonus of 74,321 yuan; the eighth worker received the lowest bonus of 72,330 yuan; the specific distribution plan is shown in Table 7.

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Publication Details

Journal
International Scientific Technical and Economic Research
Published
2025-06-30
DOI
https://doi.org/10.71451/istaer2534
Primary Topic
scientometrics and bibliometrics research
Type
article
Field-Weighted Citation Impact
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Research on scientific research performance evaluation based on IAHP-ICRITIC combined weighting

Yuxin Wang, Mingyang Lin, Meining Fei, Lifei Bai et al.
International Scientific Technical and Economic Research
scientometrics and bibliometrics research
article

Research on scientific research performance evaluation based on IAHP-ICRITIC combined weighting

Yuxin Wang, Mingyang Lin, Meining Fei, Lifei Bai, Xinsi yue Ren
article en

Abstract

In the field of scientific research, performance evaluation is a complex task with common and typical characteristics of the industry. Reasonable and effective performance evaluation can help motivate scientific researchers and optimize resource allocation. In order to give a reasonable performance distribution plan, it is necessary to evaluate the scientific research results of each employee first. Considering that the indicator data in the attachment are all positive indicators, the extreme value standardization method is first used to standardize the data. Then, the subjective indicator weights are obtained by the interval hierarchical analysis method, and the objective indicator weights are obtained by the improved CRITIC method. Based on the idea of ​​game theory, the combined weight value of the subjective and objective weights is obtained by solving the Nash equilibrium point. Finally, the performance scores of 20 scientific researchers are calculated according to the weights of each indicator, and the total bonus is distributed according to the performance score ratio. The first worker received the highest bonus of 74,321 yuan; the eighth worker received the lowest bonus of 72,330 yuan; the specific distribution plan is shown in Table 7.

International Scientific Technical and Economic Research
Jilin Vocational College of Industry and Technology (CN)
Openalex Percentile: Top 85%
scientometrics and bibliometrics research
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Research on scientific research performance evaluation based on IAHP-ICRITIC combined weighting — Yuxin Wang, Mingyang Lin, et al. · International Scientific Technical and Economic Research (2025) | TGRS Research Map | TGRS