Supply chain management problem modelling in hesitant fuzzy environment
Complex nature of the current market is often caused by uncertainties, data uncertainties, their manner of use, and differences in managers' viewpoints. To overcome these problems, Hesitant Fuzzy Sets (HFSs) can be useful as the extension of fuzzy set theory, in which the degree of membership o...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Ayandegan Institute of Higher Education,
2022-10-01
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| Series: | Journal of Fuzzy Extension and Applications |
| Subjects: | |
| Online Access: | https://www.journal-fea.com/article_155277_41d4523955ed6992d560d7d6b609e3ed.pdf |
| _version_ | 1797787103044567040 |
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| author | Madineh Farnam Majid Darehmiraki |
| author_facet | Madineh Farnam Majid Darehmiraki |
| author_sort | Madineh Farnam |
| collection | DOAJ |
| description | Complex nature of the current market is often caused by uncertainties, data uncertainties, their manner of use, and differences in managers' viewpoints. To overcome these problems, Hesitant Fuzzy Sets (HFSs) can be useful as the extension of fuzzy set theory, in which the degree of membership of an element can be a set of possible values and provide greater flexibility in design and, thus, model performance. The power of this application becomes clear when different decision-makers tend to independently record their views. In most real-world situations, there are several goals for managers to achieve the desired performance. Therefore, in this study, a description of the solution of the Hesitant Fuzzy Linear Programming (HFLP) problem for solving hesitant fuzzy multi-objective problems is considered. In the following, the multi-objective and three-level supply chain management problem is modeled with the hesitant fuzzy approach. Then, with an example, the flexibility of the model responses is evaluated by the proposed method. The hesitant fuzzy model presented in this study can be extended to other supply chain management problems. |
| first_indexed | 2024-03-13T01:18:13Z |
| format | Article |
| id | doaj.art-2cb5f9858acd4bfca25ff3af3eda8613 |
| institution | Directory Open Access Journal |
| issn | 2783-1442 2717-3453 |
| language | English |
| last_indexed | 2024-03-13T01:18:13Z |
| publishDate | 2022-10-01 |
| publisher | Ayandegan Institute of Higher Education, |
| record_format | Article |
| series | Journal of Fuzzy Extension and Applications |
| spelling | doaj.art-2cb5f9858acd4bfca25ff3af3eda86132023-07-05T06:42:19ZengAyandegan Institute of Higher Education,Journal of Fuzzy Extension and Applications2783-14422717-34532022-10-013431733610.22105/jfea.2022.337573.1216155277Supply chain management problem modelling in hesitant fuzzy environmentMadineh Farnam0Majid Darehmiraki1Department of Electrical Engineering, Shohadaye Hoveizeh Campus of Technology, Shahid Chamran University of Ahvaz, Dasht-e Azadegan, Khuzestan, Iran.Department of Mathematicsو Behbahan Khatam Alanbia University of Technology, Behbahan, Ahvaz, Iran.Complex nature of the current market is often caused by uncertainties, data uncertainties, their manner of use, and differences in managers' viewpoints. To overcome these problems, Hesitant Fuzzy Sets (HFSs) can be useful as the extension of fuzzy set theory, in which the degree of membership of an element can be a set of possible values and provide greater flexibility in design and, thus, model performance. The power of this application becomes clear when different decision-makers tend to independently record their views. In most real-world situations, there are several goals for managers to achieve the desired performance. Therefore, in this study, a description of the solution of the Hesitant Fuzzy Linear Programming (HFLP) problem for solving hesitant fuzzy multi-objective problems is considered. In the following, the multi-objective and three-level supply chain management problem is modeled with the hesitant fuzzy approach. Then, with an example, the flexibility of the model responses is evaluated by the proposed method. The hesitant fuzzy model presented in this study can be extended to other supply chain management problems.https://www.journal-fea.com/article_155277_41d4523955ed6992d560d7d6b609e3ed.pdfhesitant fuzzysupply chainmulti-objectivemulti-level |
| spellingShingle | Madineh Farnam Majid Darehmiraki Supply chain management problem modelling in hesitant fuzzy environment Journal of Fuzzy Extension and Applications hesitant fuzzy supply chain multi-objective multi-level |
| title | Supply chain management problem modelling in hesitant fuzzy environment |
| title_full | Supply chain management problem modelling in hesitant fuzzy environment |
| title_fullStr | Supply chain management problem modelling in hesitant fuzzy environment |
| title_full_unstemmed | Supply chain management problem modelling in hesitant fuzzy environment |
| title_short | Supply chain management problem modelling in hesitant fuzzy environment |
| title_sort | supply chain management problem modelling in hesitant fuzzy environment |
| topic | hesitant fuzzy supply chain multi-objective multi-level |
| url | https://www.journal-fea.com/article_155277_41d4523955ed6992d560d7d6b609e3ed.pdf |
| work_keys_str_mv | AT madinehfarnam supplychainmanagementproblemmodellinginhesitantfuzzyenvironment AT majiddarehmiraki supplychainmanagementproblemmodellinginhesitantfuzzyenvironment |