Ekin, Cansu ÇiğdemRouyendegh, Babak DaneshvarComputer Engineering2024-07-052024-07-052015230090-39731945-755310.1520/JTE201301142-s2.0-84941203276https://doi.org/10.1520/JTE20130114https://hdl.handle.net/20.500.14411/840Erdebilli, Babek/0000-0001-8860-3903This paper provides an overview of the Analytic Network Process (ANP) and Intuitionistic Fuzzy TOPSIS (IFT) methods for the Multi-Criteria Decision-Making (MCDM) problem under uncertain environments. The study employs an evaluation methodology based on the ANP-IFT where uncertainty and subjectivity are handled with linguistic values. First, the supplier selection problem is formulated using ANP and then used to determine the weights of the criteria by considering the effects of interference and the relationship among the selection criteria. Later, IFT is used to obtain full-ranking of the alternatives based on the opinion of the decision-makers (DMs). The present model provides an accurate and easy classification of supplier attributes using a hybrid model. A numerical example is given to clarify the main results developed in this paper.eninfo:eu-repo/semantics/closedAccesssupply chain managementanalytic network processintuitionistic fuzzy TOPSISsupplier selectionArticleQ3433WOS:000361640500020