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AIMS Mathematics

2023, Volume 8, Issue 8: 18780-18808. doi: 10.3934/math.2023956
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Research article Special Issues

q-Rung orthopair fuzzy information aggregation and their application towards material selection

  • 1.
    Department of Statistics and Operations Research, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia
  • 2.
    Department of Software and CMPSI, Kongju National University, Cheonan 31080, South Korea
  • 3.
    Department of Mathematics, University of the Punjab, Lahore, Pakistan
  • Received: 16 March 2023 Revised: 17 May 2023 Accepted: 22 May 2023 Published: 02 June 2023

  • MSC : 03E72, 94D05, 90B50

  • Material selection is a complex process that involves selecting the best material for a given application. It is a critical process in engineering, and the importance of selecting the right material for the job cannot be overstated. Multi-criteria decision-making (MCDM) is an important tool that can be used to help engineers make informed decisions about material selection. The logistic function can be extended using the soft-max function, which is widely used in stochastic classification methods like neural nets, soft-max extrapolation, linear differential analysis, and Naïve Bayes detectors. This has inspired researchers to develop soft-max-based fuzzy aggregation operators (AOs) for q-rung orthopair fuzzy sets (q-ROPFS) and to propose an MCDM approach based on these AOs. To test the effectiveness of this approach, the researchers applied it to a practical problem using q-rung orthopair fuzzy data and conducted a numerical example to validate the suggested procedures.

    Citation: Adel Fahad Alrasheedi, Jungeun Kim, Rukhsana Kausar. q-Rung orthopair fuzzy information aggregation and their application towards material selection[J]. AIMS Mathematics, 2023, 8(8): 18780-18808. doi: 10.3934/math.2023956

    Related Papers:

  • Material selection is a complex process that involves selecting the best material for a given application. It is a critical process in engineering, and the importance of selecting the right material for the job cannot be overstated. Multi-criteria decision-making (MCDM) is an important tool that can be used to help engineers make informed decisions about material selection. The logistic function can be extended using the soft-max function, which is widely used in stochastic classification methods like neural nets, soft-max extrapolation, linear differential analysis, and Naïve Bayes detectors. This has inspired researchers to develop soft-max-based fuzzy aggregation operators (AOs) for q-rung orthopair fuzzy sets (q-ROPFS) and to propose an MCDM approach based on these AOs. To test the effectiveness of this approach, the researchers applied it to a practical problem using q-rung orthopair fuzzy data and conducted a numerical example to validate the suggested procedures.


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