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In order to achieve this goal, we propose a new multi-criteria decision-making (MCDM) method named MULTIMABAC to evaluate suppliers\u2019 resilience. This method is based on the multi-attributive border approximation area comparison (MABAC) method. The new method consists of criteria weighting, expert weighting, and supplier evaluation. In the criteria weighting section, we extend the BWM (Best\u2013Worst method) using Pythagorean fuzzy sets (PFSs). The weight of experts is determined by incorporating the average concept into the MABAC method. The resilience score of suppliers is calculated using an extended MABAC method with ideal positive and negative solutions. All indices are aggregated using the ordinal priority approach (OPA) to obtain a unique ranking. Additionally, we extend the MULTIMABAC method using PFSs to address uncertainty in supply chain decision-making. Results and sensitivity analysis demonstrate that the proposed method effectively facilitates knowledge sharing in selecting resilient suppliers. Therefore, organizations can use the proposed method to evaluate and choose resilient suppliers. Moreover, the MULTIMABAC method demonstrates robustness to variations in the weights of its constituent parameters.<\/jats:p>","DOI":"10.1007\/s10462-024-10830-2","type":"journal-article","created":{"date-parts":[[2024,8,2]],"date-time":"2024-08-02T15:03:31Z","timestamp":1722611011000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["An integrated multi-attributive border approximation area comparison (MABAC) method for evaluating resilience and knowledge sharing of suppliers in pythagorean fuzzy environment"],"prefix":"10.1007","volume":"57","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2794-5915","authenticated-orcid":false,"given":"Mostafa","family":"Jafari","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9880-0588","authenticated-orcid":false,"given":"Shayan","family":"Naghdi Khanachah","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,8,2]]},"reference":[{"issue":"1","key":"10830_CR1","first-page":"1","volume":"2021","author":"SKG Abadi","year":"2021","unstructured":"Abadi SKG, Bathaei A, Awang SR, Ahmad T (2021) Suppliers selection in resilient supply chain by using fuzzy DEMATEL approach (case study In SAPCO supply chain). 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