Pension service institution selection by a personalized quantifier-based MACONT method

With the emergence of a variety of pension service institutions, how to choose a suitable institution has become a strategic decision-making problem faced by pension service demanders. To solve this problem, this study identifies key evaluation criteria of pension service institutions through the an...

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Autores principales:	Zhi Wen, Huchang Liao
Formato:	article
Lenguaje:	EN
Publicado:	Vilnius Gediminas Technical University 2021
Materias:	multi-criteria decision making pension service evaluation personalized quantifier cubic spline interpolation macont method probabilistic linguistic term set Management. Industrial management HD28-70 Finance HG1-9999
Acceso en línea:	https://doaj.org/article/74feff165f854636b85b22671dd5929f
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spelling	oai:doaj.org-article:74feff165f854636b85b22671dd5929f2021-11-23T13:51:27ZPension service institution selection by a personalized quantifier-based MACONT method1648-715X1648-917910.3846/ijspm.2021.15651https://doaj.org/article/74feff165f854636b85b22671dd5929f2021-09-01T00:00:00Zhttps://journals.vgtu.lt/index.php/IJSPM/article/view/15651https://doaj.org/toc/1648-715Xhttps://doaj.org/toc/1648-9179With the emergence of a variety of pension service institutions, how to choose a suitable institution has become a strategic decision-making problem faced by pension service demanders. To solve this problem, this study identifies key evaluation criteria of pension service institutions through the analysis of the relevant literature. Then, this study proposes a mixed aggregation by comprehensive normalization technique (MACONT) with a personalized quantifier to select pension service institutions, where the personalized qualifier with cubic spline interpolation is used to derive the position weights of criteria, and the MACONT is improved to determine the ranking of alternatives. A case study about the selection of pension service institutions is provided to verify the feasibility of the proposed model. It is found that the proposed method is effective in dealing with heterogeneous evaluation information, and the personalized quantifiers can be combined with MACONT methods to obtain an optimal solution associated with the attitude of pension service demanders. The identified key evaluation criteria are not only significant for pension service demanders, but also conducive to the further improvement of property management related to pension services.Zhi WenHuchang LiaoVilnius Gediminas Technical Universityarticlemulti-criteria decision makingpension service evaluationpersonalized quantifiercubic spline interpolationmacont methodprobabilistic linguistic term setManagement. Industrial managementHD28-70FinanceHG1-9999ENInternational Journal of Strategic Property Management, Vol 25, Iss 6, Pp 446–458-446–458 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	multi-criteria decision making pension service evaluation personalized quantifier cubic spline interpolation macont method probabilistic linguistic term set Management. Industrial management HD28-70 Finance HG1-9999
spellingShingle	multi-criteria decision making pension service evaluation personalized quantifier cubic spline interpolation macont method probabilistic linguistic term set Management. Industrial management HD28-70 Finance HG1-9999 Zhi Wen Huchang Liao Pension service institution selection by a personalized quantifier-based MACONT method
description	With the emergence of a variety of pension service institutions, how to choose a suitable institution has become a strategic decision-making problem faced by pension service demanders. To solve this problem, this study identifies key evaluation criteria of pension service institutions through the analysis of the relevant literature. Then, this study proposes a mixed aggregation by comprehensive normalization technique (MACONT) with a personalized quantifier to select pension service institutions, where the personalized qualifier with cubic spline interpolation is used to derive the position weights of criteria, and the MACONT is improved to determine the ranking of alternatives. A case study about the selection of pension service institutions is provided to verify the feasibility of the proposed model. It is found that the proposed method is effective in dealing with heterogeneous evaluation information, and the personalized quantifiers can be combined with MACONT methods to obtain an optimal solution associated with the attitude of pension service demanders. The identified key evaluation criteria are not only significant for pension service demanders, but also conducive to the further improvement of property management related to pension services.
format	article
author	Zhi Wen Huchang Liao
author_facet	Zhi Wen Huchang Liao
author_sort	Zhi Wen
title	Pension service institution selection by a personalized quantifier-based MACONT method
title_short	Pension service institution selection by a personalized quantifier-based MACONT method
title_full	Pension service institution selection by a personalized quantifier-based MACONT method
title_fullStr	Pension service institution selection by a personalized quantifier-based MACONT method
title_full_unstemmed	Pension service institution selection by a personalized quantifier-based MACONT method
title_sort	pension service institution selection by a personalized quantifier-based macont method
publisher	Vilnius Gediminas Technical University
publishDate	2021
url	https://doaj.org/article/74feff165f854636b85b22671dd5929f
work_keys_str_mv	AT zhiwen pensionserviceinstitutionselectionbyapersonalizedquantifierbasedmacontmethod AT huchangliao pensionserviceinstitutionselectionbyapersonalizedquantifierbasedmacontmethod
_version_	1718416709587566592

Pension service institution selection by a personalized quantifier-based MACONT method

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