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Modified method for college students' career planning evaluation based on the probabilistic hesitant fuzzy multiple attributes group decision making.

Authors :
Yang, Guangfu
Xiao, Chunyun
Source :
Journal of Intelligent & Fuzzy Systems. 2024, Vol. 46 Issue 3, p5941-5956. 16p.
Publication Year :
2024

Abstract

The employment of college graduates is related to the overall situation of China's social development, and the difficulty of employment has become a social problem that cannot be ignored. Through the analysis of the current situation of employment, it is found that the lack of employment guidance in colleges and universities and the lack of employment concept of college students are important factors for the difficulty of college students' employment, and college counselors play an irreplaceable role in college students' career planning. Based on the characteristics of college counselors' work, the paper constructs a career planning evaluation system, hoping to provide new ideas for counselors' employment guidance. The college students' career planning evaluation is a multiple attributes group decision making (MAGDM). Recently, the TODIM and GRA technique has been employed to manage MAGDM. The probabilistic hesitant fuzzy sets (PHFSs) are employed as a useful tool for depicting uncertain information during the college students' career planning evaluation. In this paper, the probabilistic hesitant fuzzy TODIM-GRA (PHF-TODIM-GRA) technique is built to manage the MAGDM under PHFSs. At last, the numerical example for college students' career planning evaluation is employed to show the PHF-TODIM-GRA technique. The main contribution of this paper is outlined: (1) the TODIM technique based on GRA technique has been extended to PHFSs based on CRITIC technique; (2) the CRITIC technique is employed to derive weight values under PHFSs. (3) the PHF-TODIM-GRA technique is founded to manage the MAGDM under PHFSs; (4) a numerical case study for college students' career planning evaluation and some comparative analysis is supplied to validate the proposed PHF-TODIM-GRA technique. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10641246
Volume :
46
Issue :
3
Database :
Academic Search Index
Journal :
Journal of Intelligent & Fuzzy Systems
Publication Type :
Academic Journal
Accession number :
176366307
Full Text :
https://doi.org/10.3233/JIFS-232606