Risk evaluation using a novel hybrid method based on FMEA, extended MULTIMOORA, and AHP methods under fuzzy environment

Fattahi, Reza; Khalilzadeh, Mohammad

doi:10.1016/j.ssci.2017.10.018

Cited by 301 publications

(116 citation statements)

References 55 publications

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“…Moreover, the third category is dependent on the severity of a failure. For a bigger failure, the value of the severity is higher [11,43]. It should be noted that the classification of the occurrence, detectability, and severity is completely case dependent.…”

Section: Failure Mode and Effect Analysis (Fmea)mentioning

confidence: 99%

A Novel Type-2 Fuzzy Logic for Improved Risk Analysis of Proton Exchange Membrane Fuel Cells in Marine Power Systems Application

et al. 2018

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A marine energy system, which is fundamentally not paired with electric grids, should work for an extended period with high reliability. To put it in another way, by employing electrical utilities on a ship, the electrical power demand has been increasing in recent years. Besides, fuel cells in marine power generation may reduce the loss of energy and weight in long cables and provide a platform such that each piece of marine equipment is supplied with its own isolated wire connection. Hence, fuel cells can be promising power generation equipment in the marine industry. Besides, failure modes and effects analysis (FMEA) is widely accepted throughout the industry as a valuable tool for identifying, ranking, and mitigating risks. The FMEA process can help to design safe hydrogen fueling stations. In this paper, a robust FMEA has been developed to identify the potentially hazardous conditions of the marine propulsion system by considering a general type-2 fuzzy logic set. The general type-2 fuzzy system is decomposed of several interval type-2 fuzzy logic systems to reduce the inherent highly computational burden of the general type-2 fuzzy systems. Linguistic rules are directly incorporated into the fuzzy system. Finally, the results demonstrate the success and effectiveness of the proposed approach in computing the risk priority number as compared to state-of-the-art methods.

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Section: Failure Mode and Effect Analysis (Fmea)mentioning

confidence: 99%

A Novel Type-2 Fuzzy Logic for Improved Risk Analysis of Proton Exchange Membrane Fuel Cells in Marine Power Systems Application

et al. 2018

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“…Thus, the critical alternative under the extended full multiplicative form approach can be determined by Equation 34: Thus, the critical alternative under the extended full multiplicative form approach can be determined by Equation 34:…”

Section: An Extension To Multimoora Approach According To the Choqumentioning

confidence: 99%

“…Due to this fact, multicriteria decision making (MCDM) science can be employed to help decision makers obtain the best alternative in the specific MCDM problem. 34 In addition, in order to acquire better results from MCDM techniques, Choquet integral proposed by Sugeno (1974) can be applied to deal with interaction relationships between criteria as well as alternatives. The reason is that it surely helps decision makers save their life, provide profit, and winning the game.…”

Section: Introductionmentioning

confidence: 99%

A perceptual computing–based method to prioritize intervention actions in the probabilistic risk assessment techniques

Yazdi

2019

Quality & Reliability Eng

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Probabilistic risk assessment techniques as the systematic tools have been widely used on the different type of industrial sectors to reduce the estimated risk to an acceptable level. The fact is to design inherently safety; hazards have to be eliminated and reduced in risk as much as possible with the consideration of several interventions. In this regard, multicriteria decision making (MCDM) science is commonly integrated with the probabilistic risk assessment techniques to improve the safety performance of a system. Thus, it has been widely used to assist decision makers in controlling the identified process hazards in a different type of engineering applications. However, by increasing the complexity of industrial sectors as well as human being judgments, typical MCDM methods cannot highly guarantee their output results. According to this point, proposing MCDM methods based on mathematical programming have been interested in scholars due to high reliability and feasibility of the results. In this paper, we extended integration of MULTIMOORA approach with the Choquet integral under subjectivity circumstances to prioritize corrective actions in a typical probabilistic risk assessment technique. To illustrate the efficiency and feasibility of the proposed method, it has been applied in a real case study.

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“…The evaluation value of each criteria b ij from three experts are represented in the form of MHFLTEs as demonstrated in Table 1. The evaluation value in the form of MHFLTSs are transformed into numerical data using Equation (6). If g = 4 and a = 1.4, then ϑ(…”

Section: An Illustrative Examplementioning

confidence: 99%

“…For example, when evaluating customer satisfaction of a service or product, experts are inclined to select some LTs such as "poor", "good" or "excellent", etc., to give their evaluation of the criteria. Since Zadeh [1] presented the fuzzy linguistic technique in 1975, which utilized linguistic variables (LVs) to describe qualitative information, some methods based on LVs have been utilized in a number of areas, such as supply chain management [2], qualify function deploy [3], health care system [4], housing marker [5], risk evaluation [6], etc.…”

Section: Introductionmentioning

confidence: 99%

Multicriteria Decision Making Based on Generalized Maclaurin Symmetric Means with Multi-Hesitant Fuzzy Linguistic Information

Лю

Gao

2018

Symmetry

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Abstract:In multicriteria decision making (MCDM), multi-hesitant fuzzy linguistic term sets (MHFLTSs) can eliminate the limitations of hesitant fuzzy linguistic term sets (HFLTSs) and hesitant fuzzy linguistic sets (HFLSs), and emphasize the importance of a repeated linguistic term (LT). Meanwhile, there is usually an interrelation between criteria. The Maclaurin symmetric mean (MSM) operator can capture the interrelationships among multi-input arguments. The purpose of this paper is to integrate MHFLTSs with MSM operators and to solve MCDM problems. Firstly, we develop the generalized MSM operator for MHFLTSs (MHFLGMSM), the generalized geometric MSM operator for MHFLTSs (MHFLGGMSM), the weighted generalized MSM operator for MHFLTSs (WMHFLGMSM) and the weighted generalized geometric MSM operator for MHFLTSs (WMHFLGGMSM), respectively. Then, we discuss their properties and some special cases. Further, we present a novel method to deal with MCDM problems with the MHFLTSs based on the proposed MSM operators. Finally, an illustrative example about how to select the best third-party logistics service provider is supplied to demonstrate the practicality and reliability of the proposed approaches in comparison with some existing approaches.

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Risk evaluation using a novel hybrid method based on FMEA, extended MULTIMOORA, and AHP methods under fuzzy environment

Cited by 301 publications

References 55 publications

A Novel Type-2 Fuzzy Logic for Improved Risk Analysis of Proton Exchange Membrane Fuel Cells in Marine Power Systems Application

A Novel Type-2 Fuzzy Logic for Improved Risk Analysis of Proton Exchange Membrane Fuel Cells in Marine Power Systems Application

A perceptual computing–based method to prioritize intervention actions in the probabilistic risk assessment techniques

Multicriteria Decision Making Based on Generalized Maclaurin Symmetric Means with Multi-Hesitant Fuzzy Linguistic Information

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