Journal of Neutrosophic and Fuzzy Systems

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https://doi.org/10.54216/JNFS

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Volume 5 , Issue 1 , PP: 23-29, 2023 | Cite this article as | XML | Html | PDF | Full Length Article

Integrated Multi-Criteria Decision Making Via Trapezoidal Neutrosophic Sets to Evaluate the Risks of Failure Mode

Mahmoud A. Zaher 1 * , Nabil M. Eldakhly 2

  • 1 Faculty of Artificial Intelligence, Data Science department, Egyptian Russian University (ERU), Cairo, Egypt - (mahmoud.zaher@eru.edu.eg)
  • 2 Faculty of Computers and Information, Sadat Academy for Management Sciences, Cairo, Egypt & French University in Cairo, Egypt - (nabil.omr@sadatacademy.edu.eg)
  • Doi: https://doi.org/10.54216/JNFS.050103

    Received: August 15, 2022 Accepted: December 19, 2022
    Abstract

    The purpose of a failure mode and effect analysis (FMEA) is to improve the safety and dependability of a system, product, procedure, or facility by identifying potential points of failure and determining the consequences of such failures. The assessment of failure modes, the weighting of risk factors, and the ranking of failure modes are all areas where the conventional FMEA falls short when put to use in the real world. To assess the hazard of failure modes in a trapezoidal neutrosophic sets environment, this research proposes a model that combines the neutrosophic sets and MCDM technique such as WASPAS. The WASPAS MCDM method is used to calculate the weights of standards and order the alternatives.  Advantages of trapezoidal neutrosophic numbers in dealing with uncertainty, ambiguity, and incompleteness are combined with the benefits of WASPAS to create the suggested risk prioritization strategy.

    Keywords :

    Failure mode , MCDM , Trapezoidal Neutrosophic Sets , Risk assessment ,   ,

    References

    [1]         M.-A. Filz, J. E. B. Langner, C. Herrmann, and S. Thiede, “Data-driven failure mode and effect analysis (FMEA) to enhance maintenance planning,” Computers in Industry, vol. 129, p. 103451, 2021.

    [2]         Z. Tian, J. Wang, and H. Zhang, “An integrated approach for failure mode and effects analysis based on fuzzy best-worst, relative entropy, and VIKOR methods,” Applied Soft Computing, vol. 72, pp. 636–646, 2018.

    [3]         T. Bian, H. Zheng, L. Yin, and Y. Deng, “Failure mode and effects analysis based on D numbers and TOPSIS,” Quality and Reliability Engineering International, vol. 34, no. 4, pp. 501–515, 2018.

    [4]         H.-C. Liu, J.-X. You, and C.-Y. Duan, “An integrated approach for failure mode and effect analysis under interval-valued intuitionistic fuzzy environment,” International Journal of Production Economics, vol. 207, pp. 163–172, 2019.

    [5]         H.-C. Liu, L.-E. Wang, X.-Y. You, and S.-M. Wu, “Failure mode and effect analysis with extended grey relational analysis method in cloud setting,” Total Quality Management & Business Excellence, vol. 30, no. 7–8, pp. 745–767, 2019.

    [6]         L. Moradi, A. Emami Sigaroudi, M. Pourshaikhian, and M. Heidari, “Risk Assessment of Clinical Care in Emergency Departments ByHealth Failure Modes and Effects Analysis,” Journal of Holistic Nursing And Midwifery, vol. 30, no. 1, pp. 35–44, 2020.

    [7]         A. R. Nadaf and R. M. Chanmanwar, “Design Failure Mode and Effect Analysis–Case Study,” in IOP Conference Series: Materials Science and Engineering, 2020, vol. 998, no. 1, p. 12053.

    [8]         Y. Molavi-Taleghani, H. Ebrahimpour, and H. Sheikhbardsiri, “A proactive risk assessment through healthcare failure mode and effect analysis in pediatric surgery department,” Journal of Comprehensive Pediatrics, vol. 11, no. 3, 2020.

    [9]         A. Haroun et al., “Using failure mode and effects analysis in improving nursing blood sampling at an international specialized cancer center,” Asian Pacific Journal of Cancer Prevention: APJCP, vol. 22, no. 4, p. 1247, 2021.

    [10]       İ. Deli, V. Uluçay, and Y. Polat, “N-valued neutrosophic trapezoidal numbers with similarity measures and application to multi-criteria decision-making problems,” Journal of Ambient Intelligence and Humanized Computing, vol. 13, no. 9, pp. 4493–4518, 2022.

    [11]       A. Chakraborty, S. P. Mondal, A. Mahata, and S. Alam, “Different linear and non-linear form of trapezoidal neutrosophic numbers, de-neutrosophication techniques and its application in time-cost optimization technique, sequencing problem,” RAIRO-Operations Research, vol. 55, pp. S97–S118, 2021.

    [12]       M. Suresh, K. Arun Prakash, and S. Vengataasalam, “Multi-criteria decision making based on ranking of neutrosophic trapezoidal fuzzy numbers,” Granular Computing, vol. 6, no. 4, pp. 943–952, 2021.

    [13]       A. Chakraborty, S. P. Mondal, S. Alam, and A. Dey, “Classification of trapezoidal bipolar neutrosophic number, de-bipolarization technique and its execution in cloud service-based MCGDM problem,” Complex & Intelligent Systems, vol. 7, no. 1, pp. 145–162, 2021.

    [14]       C. Jana, M. Pal, F. Karaaslan, and J. Q. Wang, “Trapezoidal neutrosophic aggregation operators and their application to the multi-attribute decision-making process,” Scientia Iranica. Transaction E, Industrial Engineering, vol. 27, no. 3, pp. 1655–1673, 2020.

    [15]       S. Broumi, D. Nagarajan, A. Bakali, M. Talea, F. Smarandache, and M. Lathamaheswari, “The shortest path problem in interval valued trapezoidal and triangular neutrosophic environment,” Complex & Intelligent Systems, vol. 5, no. 4, pp. 391–402, 2019.

    [16]       H. Kamacı, H. Garg, and S. Petchimuthu, “Bipolar trapezoidal neutrosophic sets and their Dombi operators with applications in multicriteria decision making,” Soft Computing, vol. 25, no. 13, pp. 8417–8440, 2021.

    [17]       S. Broumi, D. Nagarajan, M. Lathamaheswari, M. Talea, A. Bakali, and F. Smarandache, “Intelligent algorithm for trapezoidal interval valued neutrosophic network analysis,” CAAI Transactions on Intelligence Technology, vol. 5, no. 2, pp. 88–93, 2020.

    [18]       R. Bausys, G. Kazakeviciute-Januskeviciene, F. Cavallaro, and A. Usovaite, “Algorithm selection for edge detection in satellite images by neutrosophic WASPAS method,” Sustainability, vol. 12, no. 2, p. 548, 2020.

    [19]       R. Bausys and G. Kazakeviciute-Januskeviciene, “Qualitative rating of lossy compression for aerial imagery by neutrosophic waspas method,” Symmetry, vol. 13, no. 2, p. 273, 2021.

    [20]       R. Baušys et al., The residence plot selection model for family house in Vilnius by neutrosophic WASPAS method. Infinite Study, 2020.

    [21]       R. Semenas and R. Bausys, “Modelling of autonomous search and rescue missions by interval-valued neutrosophic WASPAS framework,” Symmetry, vol. 12, no. 1, p. 162, 2020.

    [22]       R. Semenas and R. Bausys, “Adaptive Autonomous Robot Navigation by Neutrosophic WASPAS Extensions,” Symmetry, vol. 14, no. 1, p. 179, 2022.

    [23]       A. Petrovas and R. Bausys, “Procedural Video Game Scene Generation by Genetic and Neutrosophic WASPAS Algorithms,” Applied Sciences, vol. 12, no. 2, p. 772, 2022.

    [24]       Ö. F. Görçün, D. Pamucar, R. Krishankumar, and H. Küçükönder, “The selection of appropriate Ro-Ro Vessel in the second-hand market using the WASPAS’Bonferroni approach in type 2 neutrosophic fuzzy environment,” Engineering Applications of Artificial Intelligence, vol. 117, p. 105531, 2023.

    [25]       E. Ayyildiz and A. Taskin, “A Novel Interval Valued Neutrosophic AHP-WASPAS Methodology for Emergency Supply Depot Location Selection Problems,” in Multi-Criteria Decision Analysis, CRC Press, 2022, pp. 251–266.

    [26]       A. R. Mishra, P. Rani, and R. S. Prajapati, “Multi-criteria weighted aggregated sum product assessment method for sustainable biomass crop selection problem using single-valued neutrosophic sets,” Applied Soft Computing, vol. 113, p. 108038, 2021.

    Cite This Article As :
    A., Mahmoud. , M., Nabil. Integrated Multi-Criteria Decision Making Via Trapezoidal Neutrosophic Sets to Evaluate the Risks of Failure Mode. Journal of Neutrosophic and Fuzzy Systems, vol. , no. , 2023, pp. 23-29. DOI: https://doi.org/10.54216/JNFS.050103
    A., M. M., N. (2023). Integrated Multi-Criteria Decision Making Via Trapezoidal Neutrosophic Sets to Evaluate the Risks of Failure Mode. Journal of Neutrosophic and Fuzzy Systems, (), 23-29. DOI: https://doi.org/10.54216/JNFS.050103
    A., Mahmoud. M., Nabil. Integrated Multi-Criteria Decision Making Via Trapezoidal Neutrosophic Sets to Evaluate the Risks of Failure Mode. Journal of Neutrosophic and Fuzzy Systems , no. (2023): 23-29. DOI: https://doi.org/10.54216/JNFS.050103
    A., M. , M., N. (2023) . Integrated Multi-Criteria Decision Making Via Trapezoidal Neutrosophic Sets to Evaluate the Risks of Failure Mode. Journal of Neutrosophic and Fuzzy Systems , () , 23-29 . DOI: https://doi.org/10.54216/JNFS.050103
    A. M. , M. N. [2023]. Integrated Multi-Criteria Decision Making Via Trapezoidal Neutrosophic Sets to Evaluate the Risks of Failure Mode. Journal of Neutrosophic and Fuzzy Systems. (): 23-29. DOI: https://doi.org/10.54216/JNFS.050103
    A., M. M., N. "Integrated Multi-Criteria Decision Making Via Trapezoidal Neutrosophic Sets to Evaluate the Risks of Failure Mode," Journal of Neutrosophic and Fuzzy Systems, vol. , no. , pp. 23-29, 2023. DOI: https://doi.org/10.54216/JNFS.050103