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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Main Authors: Qi Yue, Liezhang Liu, Yuan Tao
Format: Article
Language:English
Published: Nature Portfolio 2024-02-01
Series:Scientific Reports
Subjects:
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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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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AT liezhangliu dynamicpersonpositionmatchingdecisionmethodbasedonhesitantfuzzynumberinformation
AT yuantao dynamicpersonpositionmatchingdecisionmethodbasedonhesitantfuzzynumberinformation