Failure Mode and Effect Analysis using Soft Set Theory and COPRAS Method

Wang, Ze-Ling; You, Jing; Liu, Hu‐Chen; Wu, Song‐Man

doi:10.2991/ijcis.2017.10.1.67

Cited by 41 publications

(11 citation statements)

References 44 publications

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“…Garg [71] designed the COPRAS based framework to evaluate the desirable e-learning website. Wang et al [72] implemented a soft set based COPRAS technique to estimate the risk model for failure mode and effect analysis. Mahdiraji et al [73] identified, ordered, and assessed the ecological sustainability factors of sustainable architecture through triangular fuzzy COPRAS and Best Worst Method (BWM) approaches.…”

Section: Complex Proportional Assessment (Copras) Approachmentioning

confidence: 99%

Hesitant Fuzzy SWARA-Complex Proportional Assessment Approach for Sustainable Supplier Selection (HF-SWARA-COPRAS)

et al. 2020

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The selection of sustainable supplier is an extremely important for sustainable supply chain management (SSCM). The assessment process of sustainable supplier selection is a complicated task for decision experts due to involvement of several qualitative and quantitative criteria. As the uncertainty is commonly occurred in sustainable supplier selection problem and hesitant fuzzy set (HFS), an improvement of Fuzzy Set (FS), has been proved as one of the efficient and superior ways to express the uncertain information arisen in practical problems. The present study proposes a novel framework based on COPRAS (Complex Proportional Assessment) method and SWARA (Step-wise Weight Assessment Ratio Analysis) approach to evaluate and select the desirable sustainable supplier within the HFSs context. In the proposed method, an extended SWARA method is employed for determining the criteria weights based on experts’ preferences. Next, to illustrate the efficiency and practicability of the proposed methodology, an empirical case study of sustainable supplier selection problem is taken under Hesitant Fuzzy (HF) environment. Further, sensitivity analysis is performed to check the stability of the presented methodology. At last, a comparison with existing methods is conducted to verify the strength of the obtained result. The final outcomes confirm that the developed framework is more consistent and powerful than other existing approaches.

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Section: Complex Proportional Assessment (Copras) Approachmentioning

confidence: 99%

Hesitant Fuzzy SWARA-Complex Proportional Assessment Approach for Sustainable Supplier Selection (HF-SWARA-COPRAS)

et al. 2020

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“…In view of the merits of the VIKOR model in considering the compromise between group utility maximization and individual regret minimization, in recent years, it has been recognized as a meaningful tool that can be applied to many decision areas. In previous literature, some traditional decision models have been applied to MADM problems, such as the ELECTRE model [1][2][3][4], the MABAC model [5][6][7], the COPRAS model [8,9], the TOPSIS model [10][11][12], The TODIM model [13][14][15], and the GRA model [16][17][18]. Compared with the above methods, the VIKOR model not only considers the objectivity of the decision maker and the complexity of the decision-making environment, but also considers the conflict criteria, so as to obtain more effective and accurate evaluation results.…”

Section: Introductionmentioning

confidence: 99%

VIKOR Method for MAGDM Based on Q-Rung Interval-Valued Orthopair Fuzzy Information and Its Application to Supplier Selection of Medical Consumption Products

Gao

Ran

Wei

et al. 2020

IJERPH

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The VIKOR model has been considered a viable tool for many decision-making applications in the past few years, given the advantages of considering the compromise between maximizing the utility of group and minimizing personal regrets. The q-rung interval-valued orthopair fuzzy set (q-RIVOFS) is a generalization of intuitionistic fuzzy set (IFS) and Pythagorean fuzzy set (PFS) and has emerged to solve more complex and uncertain decision making problems which IFS and PFS cannot handle. In this manuscript, the key innovation is to combine the traditional VIKOR model with q-RIVOFS to develop the q-rung interval-valued orthopair fuzzy VIKOR model. In the new developed model, to express more information, the attribute’s values in MAGDM problems are depicted by q-RIVOFNs. First of all, some basic theories and aggregation operators of q-RIVOFNs are simply introduced. Then we develop the origin VIKOR model to q-RIVOFS environment and briefly express the computing steps of this new established model. Thereafter, the effectiveness of the model is verified by an example of supplier selection of medical consumer products and through comparative analysis, the superiority of the new method is further illustrated.

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“…There are many MCDM techniques, which can utilized in different decision-making problem including TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution), DEMATEL (decision-making trial and evaluation laboratory), AHP (Analytical Hierarchy Process), GRA (Grey Relation Analysis), Distance measures, TOPSIS, VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje), PROMETHEE (Preference ranking organization method for enrichment evaluation), ELECTRE (elimination and choice expressing reality), and BWM (Best-worst method).. [16][17][18][19][20][21][22][23] Therefore, scientifically expressing decision-making problems and funding mathematic-based techniques to improve the viability of prioritizing alternatives is vital. [39][40][41] Some engineering applications have been done by many scholars as follows. Thus, subjectivity needs to be handled in a realistic case.…”

Section: Introductionmentioning

confidence: 99%

“…[36][37][38] Typically, Choquet integral application has been extensively increased in the risk assessment procedure to track risk evaluation problems dealing with the risk factors. [39][40][41] Some engineering applications have been done by many scholars as follows. The interaction relationships between multiple risk factors in earthquake vulnerability assessment process are analyzed by Moradi et al, 42 finding the best applicable solution dealing with soil erosion in Turkey, 43 and screening the geological CO 2 storage sites.…”

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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Failure Mode and Effect Analysis using Soft Set Theory and COPRAS Method

Cited by 41 publications

References 44 publications

Hesitant Fuzzy SWARA-Complex Proportional Assessment Approach for Sustainable Supplier Selection (HF-SWARA-COPRAS)

Hesitant Fuzzy SWARA-Complex Proportional Assessment Approach for Sustainable Supplier Selection (HF-SWARA-COPRAS)

VIKOR Method for MAGDM Based on Q-Rung Interval-Valued Orthopair Fuzzy Information and Its Application to Supplier Selection of Medical Consumption Products

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

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