TY - JOUR ID - 155277 TI - Supply chain management problem modelling in hesitant fuzzy environment JO - Journal of Fuzzy Extension and Applications JA - JFEA LA - en SN - 2783-1442 AU - Farnam, Madineh AU - Darehmiraki, Majid AD - Department of Electrical Engineering, Shohadaye Hoveizeh Campus of Technology, Shahid Chamran University of Ahvaz, Dasht-e Azadegan, Khuzestan, Iran. AD - Department of Mathematicsو Behbahan Khatam Alanbia University of Technology, Behbahan, Ahvaz, Iran. Y1 - 2022 PY - 2022 VL - 3 IS - 4 SP - 317 EP - 336 KW - Hesitant Fuzzy KW - Supply chain KW - multi-objective KW - Multi-level DO - 10.22105/jfea.2022.337573.1216 N2 - 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. UR - https://www.journal-fea.com/article_155277.html L1 - https://www.journal-fea.com/article_155277_41d4523955ed6992d560d7d6b609e3ed.pdf ER -