2026-10-29T20:39:26Zhttps://munzur-rdlopen.rawdatalibrary.net/oai/requestoai:munzur-rdlopen.rawdatalibrary.net:munzur/28962026-10-28T15:30:13Zopenairedrivercom_munzur_1col_munzur_2com_munzur_8col_munzur_159An interval type-2 fuzzy enhanced best–worst method for the evaluation of ship diesel generator failuresYucesan, MelihBaşhan, VeysiDemirel, HakanGul, MuhammetBest-worst methodFailure analysisInterval type-2 fuzzy setShip diesel generatorThe environmental destruction in our century necessitates the implementation of more safety-based rules and the strict implementation of failure analysis, especially in the maritime sector. The generator system, considered the ship's powerhouse, is expected to be ready and well-maintained for efficient and safe operations. This study proposes a new methodology to analyze ship generator failures. This method includes a version of the best-worst multi-criteria decision-making method enriched with interval type-2 fuzzy logic (IT2FE-BWM). Enrichment with interval type-2 fuzzy numbers shows that a parameter about how much the decision-maker trusts the pairwise comparisons are added to the model. Thus, a more sensitive methodology has been proposed for the confidence of the maritime sector evaluators. A solid decision mechanism has been developed to prioritize generator failures. In addition, a comparison study with some other BWM derivatives and a creative sensitivity analysis were added to this study and its robustness was tested.Elsevier Ltd2022Articlehttps://rdlopen.rawdatalibrary.net/r/munzur/2896https://doi.org/10.1016/j.engfailanal.2022.1064281350-6307enEngineering Failure Analysisinfo:eu-repo/semantics/openAccessinfo:eu-repo/semantics/articlehttps://munzur-rdlopen.rawdatalibrary.net/tr/items/munzur/2896