Z-MABAC Method for the Selection of Third-Party Logistics Suppliers in Fuzzy Environment
As third-party logistics providers occupy an increasingly important position in the operation strategies of various enterprises, choosing a partner that suits them and can bring benefits to them has become an important decision-making issue for each enterprise. A lot of studies have been done with c...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9245510/ |
| _version_ | 1818853482883448832 |
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| author | Jianping Fan Runan Guan Meiqin Wu |
| author_facet | Jianping Fan Runan Guan Meiqin Wu |
| author_sort | Jianping Fan |
| collection | DOAJ |
| description | As third-party logistics providers occupy an increasingly important position in the operation strategies of various enterprises, choosing a partner that suits them and can bring benefits to them has become an important decision-making issue for each enterprise. A lot of studies have been done with classical fuzzy methods, but there are relatively few studies that consider information reliability. The emergence of Z-numbers makes up for this deficiency, including the restriction on the evaluation object and the corresponding degree of confidence. In this article, making decisions based on Z-numbers can better transform language values into fuzzy numbers. By integrating the existing Multi-Attributive Border Approximation area Comparison (MABAC) method and Z-numbers, a new method for the selection of third-party logistics providers is provided. Finally, the feasibility and effectiveness of the approach are verified by comparing with the classical Multi Criteria Decision Making methods. The Z-number is a relatively new concept that can flexibly represent the confidence of information, which will be a relatively important research direction in the future. |
| first_indexed | 2024-12-19T07:37:31Z |
| format | Article |
| id | doaj.art-ccf16bceadc64e34ae1b3fab97dbe7dc |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-19T07:37:31Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-ccf16bceadc64e34ae1b3fab97dbe7dc2022-12-21T20:30:32ZengIEEEIEEE Access2169-35362020-01-01819911119911910.1109/ACCESS.2020.30350259245510Z-MABAC Method for the Selection of Third-Party Logistics Suppliers in Fuzzy EnvironmentJianping Fan0https://orcid.org/0000-0001-8094-0294Runan Guan1Meiqin Wu2https://orcid.org/0000-0001-6126-1122School of Economics and Management, Shanxi University, Taiyuan, ChinaSchool of Economics and Management, Shanxi University, Taiyuan, ChinaSchool of Economics and Management, Shanxi University, Taiyuan, ChinaAs third-party logistics providers occupy an increasingly important position in the operation strategies of various enterprises, choosing a partner that suits them and can bring benefits to them has become an important decision-making issue for each enterprise. A lot of studies have been done with classical fuzzy methods, but there are relatively few studies that consider information reliability. The emergence of Z-numbers makes up for this deficiency, including the restriction on the evaluation object and the corresponding degree of confidence. In this article, making decisions based on Z-numbers can better transform language values into fuzzy numbers. By integrating the existing Multi-Attributive Border Approximation area Comparison (MABAC) method and Z-numbers, a new method for the selection of third-party logistics providers is provided. Finally, the feasibility and effectiveness of the approach are verified by comparing with the classical Multi Criteria Decision Making methods. The Z-number is a relatively new concept that can flexibly represent the confidence of information, which will be a relatively important research direction in the future.https://ieeexplore.ieee.org/document/9245510/Z-numbersMABAC methodthird-party logistics suppliersfuzzy numbermulti criteria decision making (MCDM) |
| spellingShingle | Jianping Fan Runan Guan Meiqin Wu Z-MABAC Method for the Selection of Third-Party Logistics Suppliers in Fuzzy Environment IEEE Access Z-numbers MABAC method third-party logistics suppliers fuzzy number multi criteria decision making (MCDM) |
| title | Z-MABAC Method for the Selection of Third-Party Logistics Suppliers in Fuzzy Environment |
| title_full | Z-MABAC Method for the Selection of Third-Party Logistics Suppliers in Fuzzy Environment |
| title_fullStr | Z-MABAC Method for the Selection of Third-Party Logistics Suppliers in Fuzzy Environment |
| title_full_unstemmed | Z-MABAC Method for the Selection of Third-Party Logistics Suppliers in Fuzzy Environment |
| title_short | Z-MABAC Method for the Selection of Third-Party Logistics Suppliers in Fuzzy Environment |
| title_sort | z mabac method for the selection of third party logistics suppliers in fuzzy environment |
| topic | Z-numbers MABAC method third-party logistics suppliers fuzzy number multi criteria decision making (MCDM) |
| url | https://ieeexplore.ieee.org/document/9245510/ |
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