A Hybrid Neutrosophic-Grey Analytic Hierarchy Process Method: Decision-Making Modelling in Uncertain Environments

The analytic hierarchy process (AHP) is recognised as one of the most commonly applied methods in multiple attribute decision-making (MADM) literature. In AHP, encompassing uncertainty feature necessitates using suitable theories, since dealing efficiently with subjective judgements great importance real-world problems. neutrosophic set (NS) theory and grey systems are two reliable theories which can bring considerable benefits to uncertain decision-making. aim this study improve by incorporating advantages NS AHP investigating sustainability through agility readiness evaluation large manufacturing plants. This pioneers a combined neutrosophic-grey (NG-AHP) method for modelling. applicability hybrid NG-AHP shown an illustrative real-case evaluations Iranian steel industry. computational results indicate effectiveness proposed adequately capturing decision makers. addition, verify significance research group under uncertainty. practical outcome reveals that, become more sustainable agile producer case country, they should first focus on “organisation management agility” significant criterion assessment followed “manufacturing agility,” “product design “integration information system,” “partnership formation capability,” respectively.