Risk evaluation in failure mode and effects analysis with extended VIKOR method under fuzzy environment

Liu, Hu‐Chen; Ling, Liansheng; Liu, Nan; Mao, Ling-Xiang

doi:10.1016/j.eswa.2012.05.031

Cited by 321 publications

(192 citation statements)

References 48 publications

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“…Then the aggregated fuzzy ratings of alternatives are calculated through Simple Additive Weighted method. The results are shown in TABLE (5). The fuzzy decision matrix is normalized in this step.…”

Section: Empirical Studymentioning

confidence: 99%

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A fuzzy MCDM approach for evaluating school performance based on linguistic information

Musani¹,

Jemain²

2013

AIP Conference Proceedings

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Abstract. Decision making is the process of finding the best option among the feasible alternatives. This process should consider a variety of criteria, but this study only focus on academic achievement. The data used is the percentage of candidates who obtained Malaysian Certificate of Education (SPM) in Melaka based on school academic achievement for each subject. 57 secondary schools in Melaka as listed by the Ministry of Education involved in this study. Therefore the school ranking can be done using MCDM (Multi Criteria Decision Making) methods. The objective of this study is to develop a rational method for evaluating school performance based on linguistic information. Since the information or level of academic achievement provided in linguistic manner, there is a possible chance of getting incomplete or uncertain problems. So in order to overcome the situation, the information could be provided as fuzzy numbers. Since fuzzy set represents the uncertainty in human perceptions. In this research, VIKOR (Multi Criteria Optimization and Compromise Solution) has been used as a MCDM tool for the school ranking process in fuzzy environment. Results showed that fuzzy set theory can solve the limitations of using MCDM when there is uncertainty problems exist in the data.

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Section: Empirical Studymentioning

confidence: 99%

“…According to Liu et al [5] triangular and trapezoidal fuzzy numbers are the most commonly used in theory and practice of fuzzy numbers. In fact, the triangular fuzzy number is a special case of trapezoidal fuzzy numbers.…”

Section: Fuzzy Numbermentioning

confidence: 99%

A fuzzy MCDM approach for evaluating school performance based on linguistic information

Musani¹,

Jemain²

2013

AIP Conference Proceedings

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“…FMEA is an important technique to enhance the reliability and safety of complex systems and is intended to provide information for making risk management decisions. When it is used for a criticality analysis, it is also referred to as failure mode, effects and criticality analysis (FMECA) [34], [38]. FMEA is a systematic process meant for reliability analysis [21,41], and mainly focuses on failures without outdated over time.…”

Section: Review Of Failure Mode and Effect Analysismentioning

confidence: 99%

An Application of Failure Mode and Effect Analysis on Improving Occupational Health and Safety Process of Marble Factories

Ersoy¹,

Eleren²

2017

IJNHS

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“…In the effort to determine the risk priorities of failure modes and to select the most serious failure modes, Liu et al [11], extended the VIKOR method under a fuzzy environment to address some limitations in the traditional FMEA method. Liu et al [12], present an FMEA method which uses fuzzy evidential reasoning (FER) approach and grey theory for solving the diversity and expertise issues in the FMEA team assessment which is mainly due to the cross-functional and multidisciplinary nature of the team members and for solving the several shortcomings in the traditional FMEA approach as well as to improve the effectiveness of the traditional FMEA.…”

Section: Introductionmentioning

confidence: 99%

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

Aikhuele

Sorooshian

Ansah

et al. 2017

Polish Maritime Research

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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/failuresare easily detected using expert's based opinions.

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Risk evaluation in failure mode and effects analysis with extended VIKOR method under fuzzy environment

Cited by 321 publications

References 48 publications

A fuzzy MCDM approach for evaluating school performance based on linguistic information

A fuzzy MCDM approach for evaluating school performance based on linguistic information

An Application of Failure Mode and Effect Analysis on Improving Occupational Health and Safety Process of Marble Factories

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

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