Aikhuele, Daniel Osezua and Faiz, Mohd Turan and Odofin, S. M. and Ansah, Richard Hannis (2017) Interval-Valued Intuitionistic Fuzzy Topsis-Based Model For Troubleshooting Marine Diesel Engine Auxiliary System. International Journal Maritime Engineering, 159 (Pt. A1). pp. 107-114. ISSN 1479-8751. (Published)
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Abstract
In this paper, we present an interval-valued Intuitionistic Fuzzy TOPSIS model, which is based on an improved score function for detecting failure in a marine diesel engine auxiliary system, using groups of experts’ opinions to detect the root cause of failure in the engine system and the area most affected by failures in the diesel engine. The improved score function has been used for the computation of the separation measures from the intuitionistic fuzzy positive ideal solution (IFPIS) and intuitionistic fuzzy negative ideal solution (IFNIS) of alternatives while the criteria weight have been determined using an intuitionistic fuzzy entropy. The study is aimed at providing an alternative method for the identification and analysis of failure modes in engine systems. The results from the study show that although detection of failures in Engines is quite difficult to identify due to the dependency of the engine systems on each other, however using intuitionistic fuzzy multi-criteria decision-making method the faults/failure can easily be diagnosed.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Intuitionistic Fuzzy Technique; Offshore Patrol Boat engine |
| Subjects: | T Technology > TS Manufactures |
| Faculty/Division: | Faculty of Industrial Management Faculty of Manufacturing Engineering Institute of Postgraduate Studies |
| Depositing User: | Noorul Farina Arifin |
| Date Deposited: | 22 Feb 2017 07:37 |
| Last Modified: | 21 Feb 2020 07:49 |
| URI: | http://umpir.ump.edu.my/id/eprint/16772 |
| Download Statistic: | View Download Statistics |
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