An interval type-2 fuzzy enhanced best–worst method for the evaluation of ship diesel generator failures

Yucesan M., Başhan V., Demirel H., Gul M.

Engineering Failure Analysis, vol.138, 2022 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 138
  • Publication Date: 2022
  • Doi Number: 10.1016/j.engfailanal.2022.106428
  • Journal Name: Engineering Failure Analysis
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Communication Abstracts, Compendex, INSPEC, Metadex, DIALNET, Civil Engineering Abstracts
  • Keywords: Best-worst method, Failure analysis, Interval type-2 fuzzy set, Ship diesel generator
  • Istanbul University Affiliated: Yes


© 2022The 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.