Comprehensive Evaluation of Talent Growth Factor Index System Based on Hesitant Fuzzy Language
An effective evaluation of the index system of talent growth factors can lay a solid foundation to build the talent pool, as well as select and establish talents. In this study, based on the theory of “Man-Machine-Environment” system engineering (MMESE), the MMESE talent growth factor index system i...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Journal of Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2021/9944689 |
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| _version_ | 1832567951143731200 |
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| author | Xueer Ji Lei Wang Huifeng Xue |
| author_facet | Xueer Ji Lei Wang Huifeng Xue |
| author_sort | Xueer Ji |
| collection | DOAJ |
| description | An effective evaluation of the index system of talent growth factors can lay a solid foundation to build the talent pool, as well as select and establish talents. In this study, based on the theory of “Man-Machine-Environment” system engineering (MMESE), the MMESE talent growth factor index system is proposed and verified for its effectiveness by comparing it with the traditional system. Based on the text-free grammar and transformation function, expert judgments of talent growth factor indexes were transformed into hesitation fuzzy language terms, namely, pertinence, systematicness, practicability, foresight, and dynamics, which were then used to create a dataset to describe the comprehensive evaluation of the index system. The entropy of hesitation fuzzy language terms adopts the algorithm, which calculates the index weights according to the relative entropy values and adjusts the expert weights with the expert group consensus model. The expert evaluation information was weighed and transformed into the corresponding probability language combination which was calculated as the comprehensive evaluation result of the talent growth factor index system. |
| format | Article |
| id | doaj-art-97ff5b2899884d128b3f7c458b40ebe4 |
| institution | Kabale University |
| issn | 2314-4785 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Mathematics |
| spelling | doaj-art-97ff5b2899884d128b3f7c458b40ebe42025-02-03T01:00:08ZengWileyJournal of Mathematics2314-47852021-01-01202110.1155/2021/9944689Comprehensive Evaluation of Talent Growth Factor Index System Based on Hesitant Fuzzy LanguageXueer Ji0Lei Wang1Huifeng Xue2China Aerospace Academy of Systems Science and EngineeringSchool of Economics and ManagementChina Aerospace Academy of Systems Science and EngineeringAn effective evaluation of the index system of talent growth factors can lay a solid foundation to build the talent pool, as well as select and establish talents. In this study, based on the theory of “Man-Machine-Environment” system engineering (MMESE), the MMESE talent growth factor index system is proposed and verified for its effectiveness by comparing it with the traditional system. Based on the text-free grammar and transformation function, expert judgments of talent growth factor indexes were transformed into hesitation fuzzy language terms, namely, pertinence, systematicness, practicability, foresight, and dynamics, which were then used to create a dataset to describe the comprehensive evaluation of the index system. The entropy of hesitation fuzzy language terms adopts the algorithm, which calculates the index weights according to the relative entropy values and adjusts the expert weights with the expert group consensus model. The expert evaluation information was weighed and transformed into the corresponding probability language combination which was calculated as the comprehensive evaluation result of the talent growth factor index system.http://dx.doi.org/10.1155/2021/9944689 |
| spellingShingle | Xueer Ji Lei Wang Huifeng Xue Comprehensive Evaluation of Talent Growth Factor Index System Based on Hesitant Fuzzy Language Journal of Mathematics |
| title | Comprehensive Evaluation of Talent Growth Factor Index System Based on Hesitant Fuzzy Language |
| title_full | Comprehensive Evaluation of Talent Growth Factor Index System Based on Hesitant Fuzzy Language |
| title_fullStr | Comprehensive Evaluation of Talent Growth Factor Index System Based on Hesitant Fuzzy Language |
| title_full_unstemmed | Comprehensive Evaluation of Talent Growth Factor Index System Based on Hesitant Fuzzy Language |
| title_short | Comprehensive Evaluation of Talent Growth Factor Index System Based on Hesitant Fuzzy Language |
| title_sort | comprehensive evaluation of talent growth factor index system based on hesitant fuzzy language |
| url | http://dx.doi.org/10.1155/2021/9944689 |
| work_keys_str_mv | AT xueerji comprehensiveevaluationoftalentgrowthfactorindexsystembasedonhesitantfuzzylanguage AT leiwang comprehensiveevaluationoftalentgrowthfactorindexsystembasedonhesitantfuzzylanguage AT huifengxue comprehensiveevaluationoftalentgrowthfactorindexsystembasedonhesitantfuzzylanguage |