Two-sided matching based on I-BTM and LSGDM applied to high-level overseas talent and job fit problems

Abstract With the increasing number of overseas talent tasks in China, overseas talent and job fit are significant issues that aim to improve the utilization of this key human resource. Many studies based on fuzzy sets have been conducted on this topic. Among the many fuzzy set methods, intuitionist...

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Autores principales:	Qing Yang, Xinshang You, Yiye Zhang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/32a456d8e7b44c948b53b41d43925561
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spelling	oai:doaj.org-article:32a456d8e7b44c948b53b41d439255612021-12-02T17:40:45ZTwo-sided matching based on I-BTM and LSGDM applied to high-level overseas talent and job fit problems10.1038/s41598-021-92057-72045-2322https://doaj.org/article/32a456d8e7b44c948b53b41d439255612021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-92057-7https://doaj.org/toc/2045-2322Abstract With the increasing number of overseas talent tasks in China, overseas talent and job fit are significant issues that aim to improve the utilization of this key human resource. Many studies based on fuzzy sets have been conducted on this topic. Among the many fuzzy set methods, intuitionistic fuzzy sets are usually utilized to express and handle the evaluation information. In recent years, various intuitionistic fuzzy decision-making methods have been rapidly developed and used to solve evaluation problems, but none of them can be used to solve the person-job fit problem with intuitionistic best-worst method (BWM) and TOPSIS methods considering large-scale group decision making (LSGDM) and evaluator social network relations (SNRs). Therefore, to solve problems of intuitionistic fuzzy information analysis and the LSGDM for high-level overseas talent and job fit, we construct a new hybrid two-sided matching method named I-BTM and an LSGDM method considering SNRs. On the one hand, to express the decision-making information more objectively and reasonably, we combine the BWM and TOPSIS in an intuitionistic environment. Additionally, we develop the LSGDM with optimized computer algorithms, where the evaluators’ attitudes are expressed by hesitant fuzzy language. Finally, we build a model of high-level overseas talent and job fit and establish a mutual criteria system that is applied to a case study to illustrate the efficiency and reasonableness of the model.Qing YangXinshang YouYiye ZhangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-22 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Qing Yang Xinshang You Yiye Zhang Two-sided matching based on I-BTM and LSGDM applied to high-level overseas talent and job fit problems
description	Abstract With the increasing number of overseas talent tasks in China, overseas talent and job fit are significant issues that aim to improve the utilization of this key human resource. Many studies based on fuzzy sets have been conducted on this topic. Among the many fuzzy set methods, intuitionistic fuzzy sets are usually utilized to express and handle the evaluation information. In recent years, various intuitionistic fuzzy decision-making methods have been rapidly developed and used to solve evaluation problems, but none of them can be used to solve the person-job fit problem with intuitionistic best-worst method (BWM) and TOPSIS methods considering large-scale group decision making (LSGDM) and evaluator social network relations (SNRs). Therefore, to solve problems of intuitionistic fuzzy information analysis and the LSGDM for high-level overseas talent and job fit, we construct a new hybrid two-sided matching method named I-BTM and an LSGDM method considering SNRs. On the one hand, to express the decision-making information more objectively and reasonably, we combine the BWM and TOPSIS in an intuitionistic environment. Additionally, we develop the LSGDM with optimized computer algorithms, where the evaluators’ attitudes are expressed by hesitant fuzzy language. Finally, we build a model of high-level overseas talent and job fit and establish a mutual criteria system that is applied to a case study to illustrate the efficiency and reasonableness of the model.
format	article
author	Qing Yang Xinshang You Yiye Zhang
author_facet	Qing Yang Xinshang You Yiye Zhang
author_sort	Qing Yang
title	Two-sided matching based on I-BTM and LSGDM applied to high-level overseas talent and job fit problems
title_short	Two-sided matching based on I-BTM and LSGDM applied to high-level overseas talent and job fit problems
title_full	Two-sided matching based on I-BTM and LSGDM applied to high-level overseas talent and job fit problems
title_fullStr	Two-sided matching based on I-BTM and LSGDM applied to high-level overseas talent and job fit problems
title_full_unstemmed	Two-sided matching based on I-BTM and LSGDM applied to high-level overseas talent and job fit problems
title_sort	two-sided matching based on i-btm and lsgdm applied to high-level overseas talent and job fit problems
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/32a456d8e7b44c948b53b41d43925561
work_keys_str_mv	AT qingyang twosidedmatchingbasedonibtmandlsgdmappliedtohighleveloverseastalentandjobfitproblems AT xinshangyou twosidedmatchingbasedonibtmandlsgdmappliedtohighleveloverseastalentandjobfitproblems AT yiyezhang twosidedmatchingbasedonibtmandlsgdmappliedtohighleveloverseastalentandjobfitproblems
_version_	1718379753987112960

Two-sided matching based on I-BTM and LSGDM applied to high-level overseas talent and job fit problems

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