Shared manufacturing service evaluation based on intuitionistic fuzzy VIKOR
With the rise of the concept of sharing economy, the shared manufacturing model has gained widespread attention. The VIKOR shared manufacturing service evaluation approach is presented based on an intuitionistic fuzzy environment, which enables users to filter out acceptable shared manufacturing ser...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-04-01
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| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024052812 |
| _version_ | 1797213359713550336 |
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| author | Jiating Liang Peng Liu |
| author_facet | Jiating Liang Peng Liu |
| author_sort | Jiating Liang |
| collection | DOAJ |
| description | With the rise of the concept of sharing economy, the shared manufacturing model has gained widespread attention. The VIKOR shared manufacturing service evaluation approach is presented based on an intuitionistic fuzzy environment, which enables users to filter out acceptable shared manufacturing services from a wide pool of shared manufacturing services with similar functional qualities. Firstly, considering the QOS multi-indicator comprehensive evaluation of services by multiple stakeholders under the fundamental characteristics of shared manufacturing, the QOS evaluation index system is built from the two aspects of online and offline, which includes 2 first-level indicators and 10 second-level indicators. The paper also constructs a service recommendation model considering supply and demand constraints. Secondly, the intuitionistic fuzzy numbers are introduced to define the non-quantitative indexes, and the G1-method and variable-precision rough set theory are used for the assignment, and the maximum entropy theory is utilized to integrate the assignment method to obtain the combination weights. Thirdly, the VIKOR method based on intuitionistic fuzzy sets is used to evaluate and rank the shared manufacturing candidate services, in which the combined benefits and minimum regret values of the groups are solved based on the intuitionistic fuzzy number similarity. Finally, the reliability and feasibility of the algorithm are verified with a real case. |
| first_indexed | 2024-04-24T10:57:02Z |
| format | Article |
| id | doaj.art-08c4ef0ba14a460dab88b37b8a406bf2 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-24T10:57:02Z |
| publishDate | 2024-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-08c4ef0ba14a460dab88b37b8a406bf22024-04-12T04:45:32ZengElsevierHeliyon2405-84402024-04-01108e29250Shared manufacturing service evaluation based on intuitionistic fuzzy VIKORJiating Liang0Peng Liu1School of Management, Shenyang University of Technology, Shenyang, 110870, ChinaCorresponding author.; School of Management, Shenyang University of Technology, Shenyang, 110870, ChinaWith the rise of the concept of sharing economy, the shared manufacturing model has gained widespread attention. The VIKOR shared manufacturing service evaluation approach is presented based on an intuitionistic fuzzy environment, which enables users to filter out acceptable shared manufacturing services from a wide pool of shared manufacturing services with similar functional qualities. Firstly, considering the QOS multi-indicator comprehensive evaluation of services by multiple stakeholders under the fundamental characteristics of shared manufacturing, the QOS evaluation index system is built from the two aspects of online and offline, which includes 2 first-level indicators and 10 second-level indicators. The paper also constructs a service recommendation model considering supply and demand constraints. Secondly, the intuitionistic fuzzy numbers are introduced to define the non-quantitative indexes, and the G1-method and variable-precision rough set theory are used for the assignment, and the maximum entropy theory is utilized to integrate the assignment method to obtain the combination weights. Thirdly, the VIKOR method based on intuitionistic fuzzy sets is used to evaluate and rank the shared manufacturing candidate services, in which the combined benefits and minimum regret values of the groups are solved based on the intuitionistic fuzzy number similarity. Finally, the reliability and feasibility of the algorithm are verified with a real case.http://www.sciencedirect.com/science/article/pii/S2405844024052812Shared manufacturingService evaluationIntuitionistic fuzzy setsVIKOR method |
| spellingShingle | Jiating Liang Peng Liu Shared manufacturing service evaluation based on intuitionistic fuzzy VIKOR Heliyon Shared manufacturing Service evaluation Intuitionistic fuzzy sets VIKOR method |
| title | Shared manufacturing service evaluation based on intuitionistic fuzzy VIKOR |
| title_full | Shared manufacturing service evaluation based on intuitionistic fuzzy VIKOR |
| title_fullStr | Shared manufacturing service evaluation based on intuitionistic fuzzy VIKOR |
| title_full_unstemmed | Shared manufacturing service evaluation based on intuitionistic fuzzy VIKOR |
| title_short | Shared manufacturing service evaluation based on intuitionistic fuzzy VIKOR |
| title_sort | shared manufacturing service evaluation based on intuitionistic fuzzy vikor |
| topic | Shared manufacturing Service evaluation Intuitionistic fuzzy sets VIKOR method |
| url | http://www.sciencedirect.com/science/article/pii/S2405844024052812 |
| work_keys_str_mv | AT jiatingliang sharedmanufacturingserviceevaluationbasedonintuitionisticfuzzyvikor AT pengliu sharedmanufacturingserviceevaluationbasedonintuitionisticfuzzyvikor |