Dynamic person-position matching decision method based on hesitant fuzzy number information
Abstract In view of the fact that people pay more and more attention to the principle of "getting the position according to the person" and "adapting the person to the position" in person-position matching, a dynamic person-position matching decision method based on hesitant fuzz...
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Nature Portfolio
2024-02-01
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Series: | Scientific Reports |
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Online Access: | https://doi.org/10.1038/s41598-024-54177-8 |
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author | Qi Yue Liezhang Liu Yuan Tao |
author_facet | Qi Yue Liezhang Liu Yuan Tao |
author_sort | Qi Yue |
collection | DOAJ |
description | Abstract In view of the fact that people pay more and more attention to the principle of "getting the position according to the person" and "adapting the person to the position" in person-position matching, a dynamic person-position matching decision method based on hesitant fuzzy numbers is proposed. First, the dynamic person-position matching problem with hesitant fuzzy numbers is described. Then, according to hesitant fuzzy evaluation matrices of positions and candidates, expected score matrices of bilateral subjects are calculated. Furthermore, based on the idea of the generalized optimal order method and the dominant correlation and the missing correlation coefficients, satisfaction means of people and positions are calculated. According to satisfaction means, growth satisfactions at each period are obtained, and then the exponential decay formula is used to determine weights of growth satisfactions. Dynamic satisfactions of bilateral subjects are calculated by aggregating initial satisfaction means and growth satisfactions. On this basis, a stable person-position matching model considering dynamic satisfactions is established and then is solved to obtain the optimal stable person-position matching scheme. Finally, the feasibility and effectiveness of the proposed method are verified by an example analysis of person-position matching. Main contributions of this paper are as follows: an effective calculation method for the missing correlation coefficient is presented; a novel effective calculation method for dynamic satisfactions is proposed by introducing the correlation parameter to combine the missing correlation coefficient with the dominant correlation coefficient; an effective stable person-position matching model considering dynamic satisfactions is established. |
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institution | Directory Open Access Journal |
issn | 2045-2322 |
language | English |
last_indexed | 2024-03-07T15:02:13Z |
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spelling | doaj.art-487ae6971a9048a6ad9574be18a79ebd2024-03-05T19:05:59ZengNature PortfolioScientific Reports2045-23222024-02-0114111610.1038/s41598-024-54177-8Dynamic person-position matching decision method based on hesitant fuzzy number informationQi Yue0Liezhang Liu1Yuan Tao2School of Management, Shanghai University of Engineering ScienceSchool of Management, Shanghai University of Engineering ScienceSchool of Management, Shanghai University of Engineering ScienceAbstract In view of the fact that people pay more and more attention to the principle of "getting the position according to the person" and "adapting the person to the position" in person-position matching, a dynamic person-position matching decision method based on hesitant fuzzy numbers is proposed. First, the dynamic person-position matching problem with hesitant fuzzy numbers is described. Then, according to hesitant fuzzy evaluation matrices of positions and candidates, expected score matrices of bilateral subjects are calculated. Furthermore, based on the idea of the generalized optimal order method and the dominant correlation and the missing correlation coefficients, satisfaction means of people and positions are calculated. According to satisfaction means, growth satisfactions at each period are obtained, and then the exponential decay formula is used to determine weights of growth satisfactions. Dynamic satisfactions of bilateral subjects are calculated by aggregating initial satisfaction means and growth satisfactions. On this basis, a stable person-position matching model considering dynamic satisfactions is established and then is solved to obtain the optimal stable person-position matching scheme. Finally, the feasibility and effectiveness of the proposed method are verified by an example analysis of person-position matching. Main contributions of this paper are as follows: an effective calculation method for the missing correlation coefficient is presented; a novel effective calculation method for dynamic satisfactions is proposed by introducing the correlation parameter to combine the missing correlation coefficient with the dominant correlation coefficient; an effective stable person-position matching model considering dynamic satisfactions is established.https://doi.org/10.1038/s41598-024-54177-8Dynamic person-position matchingStable matchingHesitant fuzzy numberDynamic satisfactionStable person-position matching model |
spellingShingle | Qi Yue Liezhang Liu Yuan Tao Dynamic person-position matching decision method based on hesitant fuzzy number information Scientific Reports Dynamic person-position matching Stable matching Hesitant fuzzy number Dynamic satisfaction Stable person-position matching model |
title | Dynamic person-position matching decision method based on hesitant fuzzy number information |
title_full | Dynamic person-position matching decision method based on hesitant fuzzy number information |
title_fullStr | Dynamic person-position matching decision method based on hesitant fuzzy number information |
title_full_unstemmed | Dynamic person-position matching decision method based on hesitant fuzzy number information |
title_short | Dynamic person-position matching decision method based on hesitant fuzzy number information |
title_sort | dynamic person position matching decision method based on hesitant fuzzy number information |
topic | Dynamic person-position matching Stable matching Hesitant fuzzy number Dynamic satisfaction Stable person-position matching model |
url | https://doi.org/10.1038/s41598-024-54177-8 |
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