A modified exponential score function for troubleshooting an improved locally made Offshore Patrol Boat engine

Abstract

In this paper, we present an Intuitionistic Fuzzy Technique for Order Preference by Similarity to the Ideal Solution model which is based on a modified exponential score function for detecting early failure in a locally made Offshore Patrol Boat engine, with special regard to component interaction failure, using groups of experts' opinions to detect the root cause and the engine systems most affected by the failures in the Boat engine. The study is aimed at providing an alternative method for the traditional product development failure mode identification and analysis methods which hitherto are limited when it comes to component interaction accidents and failure analysis in the machine system. The results from the study show that although early detection of failures in engines is quite difficult due to the dependency of machine systems and components on each other, using an intuitionistic fuzzy multi-criteria decision-making method which is based on experts' opinions these faults/failure can easily be diagnosed and detected.

Evaluation of Renewable Energy Technology Based on Reliability Attributes Using Hybrid Fuzzy Dynamic Decision-Making Model

“…IF-TOPSIS is one of the most widely used MCDM techniques [27]. It measures distances in the Euclidean norm, which implicitly assume all contemplated attributes are independent.…”

Application of Intuitionistic Fuzzy Topsis Model for Troubleshooting an Offshore Patrol Boat Engine

“…Five probable failures (criteria) in the engine systems [13], [18] have been identified and they are consolidated with the experience and opinions of the experts, these criteria and their subs-criteria include;…”

Interval-valued intuitionistic fuzzy multi-criteria model for design concept selection

“…Unlike the traditional FS, the IFS is characterized by a membership and a non-membership function, hence making it more capable of handling vagueness and uncertain information in practice. Extensive literature review has shown, significant increase in the application of the IFS over the past few years mostly for solving multi-criteria decision making (MCDM) problems (Aikhuele & Turan, 2017;Bai, 2013;Chen & Chiou, 2015;Jahromi, 2012;Li, 2005;Linet al , 2007;Liu & Ren, 2014;Xu, 2014). One of such applications includes the intuitionistic fuzzy technique for order preference by similarity to ideal solution (IF-TOPSIS).…”

“…According to Zhaiet al (2009), the methods and approaches can be classified into two categories, namely the numerical methods and the non-numerical methods. The non-numerical approach, basically involves the traditional design evaluation approach which includes methods like; concept screening (Ulrich, & Eppinger, 2000) and concept selection and evaluation (Pugh, 1996), while the numerical methods comprises of methods like decision matrixes (King & Sivaloganathan, 1999), quality function deployment (Mariniet al , 2016), fuzzy set (FS) concepts (Aikhuele & Turan, 2017;Akay et al, 2011;Jenab et al, 2013;Liu 2011), grey relation analysis (Zhai et al, 2009). …”