This study presents a hybrid decision-making approach for supplier selection, with the objective of identifying suppliers that impose the lowest level of risk in their relationship with the purchasing organization. Supplier selection involves numerous criteria, many of which are characterized by uncertainty or imprecision. To address this ambiguity, fuzzy theory is incorporated into the evaluation process.
Initially, relevant supplier selection criteria were identified, and a fuzzy Analytic Hierarchy Process (fuzzy AHP) was employed to determine the relative weights of these criteria. Supplier performance for each criterion was expressed using linguistic terms, which were subsequently converted into mathematical form through triangular fuzzy numbers (TFNs). The α-cut method was then applied to transform the TFNs into interval numbers.
Since different values of α can produce varying supplier rankings, the average ranking was calculated to obtain the final prioritization of suppliers. This approach enables a more robust and realistic assessment of supplier risk by accounting for uncertainty in the decision-making environment.

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