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Application of Fuzzy Comprehensive Model of AHP in Performance Evaluation of University Administrators in China and Abroad

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DOI: 10.23977/acccm.2023.050801 | Downloads: 10 | Views: 346

Author(s)

Dong Fei 1

Affiliation(s)

1 Huaiyin Institute of Technology, Huai'an, Jiangsu, 223003, China

Corresponding Author

Dong Fei

ABSTRACT

To improve the efficiency of the performance evaluation of university administrators, this paper applies AHP fuzzy comprehensive model to this research. This paper focuses on the model composition and mathematical principle of AHP fuzzy comprehensive evaluation method, and demonstrates it with examples. The performance appraisal of three kinds of teachers in one school was taken as an example for analysis, the full score of the evaluation is 100, with 25 points assigned to each first-level index, and the scores of each second-level index are mainly no more than the first-level index. The experiment uses the "AHP+ fuzzy comprehensive evaluation method" proposed in this paper for comprehensive evaluation. The results show that by using the improved fuzzy comprehensive evaluation method proposed in this paper, the final score of A is 3.8027, which is higher than that of B and C by 0.0497 and 0.0762 respectively. According to the experiment, it can be seen that the method proposed in this paper can comprehensively, objectively and truly evaluate the performance of university administrators in practical work.

KEYWORDS

Fuzzy comprehensive model of ahp, Chinese and foreign university administrators, Performance appraisal

CITE THIS PAPER

Dong Fei, Application of Fuzzy Comprehensive Model of AHP in Performance Evaluation of University Administrators in China and Abroad. Accounting and Corporate Management (2023) Vol. 5: 1-7. DOI: http://dx.doi.org/10.23977/acccm.2023.050801.

REFERENCES

[1] Huang C. P. (2021). Admissibility and design issues for t-s fuzzy descriptor systems with perturbed derivative matrices in the rules. IEEE Transactions on Fuzzy Systems, PP(99), 1-1.
[2] Li L., Mao C., Sun H., Yuan Y., & Lei B. (2020). Digital twin driven green performance evaluation methodology of intelligent manufacturing: hybrid model based on fuzzy rough-sets ahp, multistage weight synthesis, and promethee ii. Complexity, 2020(6), 1-24.
[3] Liu X., Liu H., Wan Z., Wang L.,& Chen Q. (2021). Study on evaluation index system of sustainable development of mine water resources based on pso-ahp model and fuzzy comprehensive evaluation. Journal of Intelligent and Fuzzy Systems(4), 1-12.
[4] Chen G., Zhang J., Zhang S., & Yan B. (2021). Customer knowledge management competence evaluation of tourism enterprises based on ahp-fuzzy comprehensive evaluation method. Journal of Intelligent and Fuzzy Systems(7), 1-13.
[5] Wang Wei, Jing Zhang, Hui Zhou., Zhou Lei. (2020). Assessing effect of grassland resources policies using ahp and fuzzy comprehensive evaluation:a case study of ningxia hui autonomous region,china. Ecological Economy, v.16(03), 51-59.
[6] MD Daniela, & Florena P. (2020). Performing management in school organizations and entrepreneurship. International Journal of Applied Research in Management and Economics, 3(3), 1-8.
[7] Sadeghi A., Azar A., Valmohammadi C., & Alirezaei A. (2020). Designing a product-service supply chain performance evaluation model in the home appliance industry. Production and Operations Management, 10(2), 83-123.
[8] Shided M. S., Rashid A., Monayeri O., & Elsayad M. A. (2021). Using anp to evaluate factors affecting construction project's performance. International Journal of Innovative Technology and Exploring Engineering, 10(2), 120-124.
[9] Hermawan A. A., Bachtiar E., Wicaksono P. T. ,& Sari N. P. (2021). Levers of control and managerial performance: the importance of belief systems. Gadjah Mada International Journal of Business, 23(3), 237-261.
[10] Weber C. E., Chahabadi D. , & Maurer I.(2020). Antecedents and performance effect of managerial misperception of institutional differences. Journal of world business, 55(1), 101018.1-101018.14.
[11] Jahantigh F. F., & Ostovare M. (2020). Methods and instruments application of a hybrid method for performance evaluation of teaching hospitals in tehran. Quality management in health care, 29(4), 210–217.
[12] Bobar Z., Boani D., Djuri K., & Pamucar D. (2020). Ranking and assessment of the efficiency of social media using the fuzzy ahp-z number model -fuzzy mabac. Acta Polytechnica Hungarica, 17(3), 43-70.
[13] Asadzadeh S., Akhavan B., & Akhavan B. (2021). Multi-objective optimization of gas station performance using response surface methodology. International Journal of Quality & Reliability Management, 38(2), 465-483.
[14] Brosque C. & Fischer M. (2022). A robot evaluation framework comparing on-site robots with traditional construction methods. Construction Robotics, 6(2), 187-206.
[15] Lasod S. B., Al-Sakkaf A., & Abdelkader E. M. (2020). Latin hypercube sampling for stochastic evaluation of post occupancy in prep-year building. The Journal of Scientific and Engineering Research, 7(12), 51-62.
[16] Zhai F. (2020). The evaluation to the social responsibility consciousness of the college students based on ahp-fuzzy model. Journal of Intelligent and Fuzzy Systems, 38(6), 1-6.
[17] Pu L., Hong Y., & Mu H. (2020). Conceptual fuzzy ahp model for perception analysis of a children's raincoat. Fibres and Textiles in Eastern Europe, 28(2), 96-102.
[18] Kabassi K., Karydis C., & Botonis A. (2020). Ahp, fuzzy saw, and fuzzy wpm for the evaluation of cultural websites. Multimodal Technologies and Interaction, 4(1), 2-13.
[19] N Tüysüz & Kahraman C. (2020). Evaluating social sustainable development factors using multi-experts z-fuzzy ahp. Journal of Intelligent and Fuzzy Systems, 39(5), 6181-6192.
[20] Radovanovic M. R., Ranelovi A. , & Joki E. (2020). Application of hybrid model fuzzy ahp - vikor in selection of the most efficient procedure for rectification of the optical sight of the long-range rifle. Decision Making Applications in Management and Engineering, 3(2), 131-148.

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