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 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.

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

10.3940/rina.ijme.2016.a1.402 ◽

2017 ◽

Vol Vol 159 (A1) ◽

Author(s):

D O Aikhuele ◽

F M Turan ◽

S M Odofin ◽

R H Ansah

Keyword(s):

Diesel Engine ◽

Score Function ◽

Fuzzy Topsis ◽

Marine Diesel Engine ◽

Ideal Solution ◽

Intuitionistic Fuzzy ◽

Marine Diesel ◽

Intuitionistic Fuzzy Topsis ◽

Engine Systems ◽

Interval Valued

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An Interval-Valued Intuitionistic Fuzzy TOPSIS Method Based on an Improved Score Function

The Scientific World JOURNAL ◽

10.1155/2013/879089 ◽

2013 ◽

Vol 2013 ◽

pp. 1-6 ◽

Cited By ~ 21

Author(s):

Zhi-yong Bai

Keyword(s):

Decision Making ◽

Score Function ◽

Fuzzy Topsis ◽

Fuzzy Decision Making ◽

Fuzzy Decision ◽

Topsis Method ◽

Intuitionistic Fuzzy ◽

Relative Closeness ◽

Intuitionistic Fuzzy Topsis ◽

Interval Valued

This paper proposes an improved score function for the effective ranking order of interval-valued intuitionistic fuzzy sets (IVIFSs) and an interval-valued intuitionistic fuzzy TOPSIS method based on the score function to solve multicriteria decision-making problems in which all the preference information provided by decision-makers is expressed as interval-valued intuitionistic fuzzy decision matrices where each of the elements is characterized by IVIFS value and the information about criterion weights is known. We apply the proposed score function to calculate the separation measures of each alternative from the positive and negative ideal solutions to determine the relative closeness coefficients. According to the values of the closeness coefficients, the alternatives can be ranked and the most desirable one(s) can be selected in the decision-making process. Finally, two illustrative examples for multicriteria fuzzy decision-making problems of alternatives are used as a demonstration of the applications and the effectiveness of the proposed decision-making method.

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

Polish Maritime Research ◽

10.1515/pomr-2017-0051 ◽

2017 ◽

Vol 24 (2) ◽

pp. 68-76 ◽

Cited By ~ 2

Author(s):

Daniel Osezua Aikhuele ◽

Shahryar Sorooshian ◽

Richard Hannis Ansah ◽

Faiz Mohd Turan

Keyword(s):

Score Function ◽

Fuzzy Topsis ◽

Machine Component ◽

Mode Identification ◽

Root Cause ◽

Intuitionistic Fuzzy ◽

Cause Of Failure ◽

Failure Mode Identification ◽

Intuitionistic Fuzzy Topsis ◽

Topsis Model

Abstract 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.

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A Method for Ranking Products Through Online Reviews Based on Sentiment Classification and Interval-Valued Intuitionistic Fuzzy TOPSIS

International Journal of Information Technology & Decision Making ◽

10.1142/s021962201750033x ◽

2017 ◽

Vol 16 (06) ◽

pp. 1497-1522 ◽

Cited By ~ 27

Author(s):

Yang Liu ◽

Jian-Wu Bi ◽

Zhi-Ping Fan

Keyword(s):

Fuzzy Topsis ◽

Online Reviews ◽

Sentiment Classification ◽

Support Vector ◽

Product Reviews ◽

Purchase Decisions ◽

Intuitionistic Fuzzy ◽

Online Product Reviews ◽

Intuitionistic Fuzzy Topsis ◽

Interval Valued

Studies have shown that online product reviews significantly affect consumer purchase decisions. However, it is difficult for the consumer to read online product reviews one by one because the number of online reviews is very large. Thus, to facilitate consumer purchase decisions, how to rank products through online reviews is a valuable research topic. This paper proposes a method for ranking products through online reviews based on sentiment classification and the interval-valued intuitionistic fuzzy Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS). The method consists of two parts: (1) identifying sentiment orientations of the online reviews based on sentiment classification and (2) ranking alternative products based on interval-valued intuitionistic fuzzy TOPSIS. In the first part, the online reviews of the alternative products concerning multiple attributes are preprocessed, and an algorithm based on support vector machine and one-versus-one strategy is developed for classifying the sentiment orientations of online reviews into three categories: positive, neutral, and negative. In the second part, based on the percentages of the online reviews with different sentiment orientations and the numbers of online reviews of different products crawled from the website, an interval-valued intuitionistic fuzzy number is constructed to represent the performance of an alternative product with respect to the product attribute. Additionally, the interval-valued intuitionistic fuzzy TOPSIS method is employed to determine a ranking of the alternative products. Finally, a case analysis is provided to illustrate the application of the proposed method.

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