Application Of Intuitionistic Fuzzy Topsis Model For Troubleshooting An Offshore Patrol Boat Engine

• Main Authors: Aikhuele, Daniel Osezua, Sorooshian, Shahryar, Ansah, Richard Hannis, Faiz, Mohd Turan
• Format: Article
• Language: English
• Published: Walter de Gruyter GmbH 2017
• Subjects: AI Indexes (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/19452/1/%5BPolish%20Maritime%20Research%5D%20Application%20of%20Intuitionistic%20Fuzzy%20Topsis%20Model%20for%20Troubleshooting%20an%20Offshore%20Patrol%20Boat%20Engine%283%29.pdf; http://umpir.ump.edu.my/id/eprint/19452/; https://doi.org/10.1515/pomr-2017-0051

In this paper, an Intuitionistic Fuzzy TOPSIS model which is based on a score function is proposed for detecting the root cause of failure in an Offshore Boat engine, using groups of expert’s opinions. The study which has provided an alternative approach for failure mode identification and analysis in machines, addresses the machine component interaction failures which is a limitation in existing methods. The results from the study show that although early detection of failures in engines is quite difficult to identify due to the dependency of their systems from each other. However, with the Intuitionistic Fuzzy TOPSIS model which is based on an improved score function such faults/failures are easily detected using expert’s based opinions.