Interval-Valued Intuitionistic Fuzzy Topsis-Based Model For Troubleshooting Marine Diesel Engine Auxiliary System

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...

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Main Authors:	Aikhuele, Daniel Osezua, Faiz, Mohd Turan, Odofin, S. M., Ansah, Richard Hannis
Format:	Article
Language:	English
Published:	The Royal Institution of Naval Architects 2017
Subjects:	TS Manufactures
Online Access:	http://umpir.ump.edu.my/id/eprint/16772/ http://umpir.ump.edu.my/id/eprint/16772/ http://umpir.ump.edu.my/id/eprint/16772/ http://umpir.ump.edu.my/id/eprint/16772/1/fkp-2017-faiz-Interval-Valued%20Intuitionistic1.pdf

id	oai:umpir.ump.edu.my:16772
recordtype	eprints
spelling	oai:umpir.ump.edu.my:167722018-02-22T06:25:08Z http://umpir.ump.edu.my/id/eprint/16772/ Interval-Valued Intuitionistic Fuzzy Topsis-Based Model For Troubleshooting Marine Diesel Engine Auxiliary System Aikhuele, Daniel Osezua Faiz, Mohd Turan Odofin, S. M. Ansah, Richard Hannis TS Manufactures 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. The Royal Institution of Naval Architects 2017 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/16772/1/fkp-2017-faiz-Interval-Valued%20Intuitionistic1.pdf 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 https://www.rina.org.uk/ijme.html doi: 10.3940/rina.ijme.2016.a1.402
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TS Manufactures
spellingShingle	TS Manufactures Aikhuele, Daniel Osezua Faiz, Mohd Turan Odofin, S. M. Ansah, Richard Hannis Interval-Valued Intuitionistic Fuzzy Topsis-Based Model For Troubleshooting Marine Diesel Engine Auxiliary System
description	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.
format	Article
author	Aikhuele, Daniel Osezua Faiz, Mohd Turan Odofin, S. M. Ansah, Richard Hannis
author_facet	Aikhuele, Daniel Osezua Faiz, Mohd Turan Odofin, S. M. Ansah, Richard Hannis
author_sort	Aikhuele, Daniel Osezua
title	Interval-Valued Intuitionistic Fuzzy Topsis-Based Model For Troubleshooting Marine Diesel Engine Auxiliary System
title_short	Interval-Valued Intuitionistic Fuzzy Topsis-Based Model For Troubleshooting Marine Diesel Engine Auxiliary System
title_full	Interval-Valued Intuitionistic Fuzzy Topsis-Based Model For Troubleshooting Marine Diesel Engine Auxiliary System
title_fullStr	Interval-Valued Intuitionistic Fuzzy Topsis-Based Model For Troubleshooting Marine Diesel Engine Auxiliary System
title_full_unstemmed	Interval-Valued Intuitionistic Fuzzy Topsis-Based Model For Troubleshooting Marine Diesel Engine Auxiliary System
title_sort	interval-valued intuitionistic fuzzy topsis-based model for troubleshooting marine diesel engine auxiliary system
publisher	The Royal Institution of Naval Architects
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/16772/ http://umpir.ump.edu.my/id/eprint/16772/ http://umpir.ump.edu.my/id/eprint/16772/ http://umpir.ump.edu.my/id/eprint/16772/1/fkp-2017-faiz-Interval-Valued%20Intuitionistic1.pdf
first_indexed	2018-09-07T02:13:28Z
last_indexed	2018-09-07T02:13:28Z
_version_	1610913057712635904

Interval-Valued Intuitionistic Fuzzy Topsis-Based Model For Troubleshooting Marine Diesel Engine Auxiliary System

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