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AIMS Mathematics

2021, Volume 6, Issue 11: 12795-12831. doi: 10.3934/math.2021739
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Research article

Innovative q-rung orthopair fuzzy prioritized aggregation operators based on priority degrees with application to sustainable energy planning: A case study of Gwadar

  • 1.
    Department of Mathematics, University of the Punjab, Lahore, Pakistan
  • 2.
    Institute of Energy & Environmental Engineering, University of the Punjab, Lahore, Pakistan
  • 3.
    Department of Mathematics, College of Sciences, King Khalid University, Abha 61413, Saudi Arabia
  • 4.
    Department of Mathematics, Faculty of Science, Minia University, Egypt
  • Received: 30 July 2021 Accepted: 26 August 2021 Published: 07 September 2021

  • MSC : 03E72, 94D05, 90B50

  • Clean energy potential can be used on a large scale in order to achieve cost competitiveness and market effectiveness. This paper offers sufficient information to choose renewable technology for improving the living conditions of the local community while meeting energy requirements by employing the notion of q-rung orthopair fuzzy numbers (q-ROFNs). In real-world situations, a q-ROFN is exceptionally useful for representing ambiguous/vague data. A multi-criteria decision-making (MCDM) is proposed in which the parameters have a prioritization relationship and the idea of a priority degree is employed. The aggregation operators (AOs) are formed by awarding non-negative real numbers known as priority degrees among strict priority levels. Consequently, some prioritized operators with q-ROFNs are proposed named as "q-rung orthopair fuzzy prioritized averaging (q-ROFPAd) operator with priority degrees and q-rung orthopair fuzzy prioritized geometric (q-ROFPGd) operator with priority degrees". The results of the proposed approach are compared with several other related studies. The comparative analysis results indicate that the proposed approach is valid and accurate which provides feasible results. The characteristics of the existing method are often compared to other current methods, emphasizing the superiority of the presented work over currently used operators. Additionally, the effect of priority degrees is analyzed for information fusion and feasible ranking of objects.

    Citation: Muhammad Riaz, Hafiz Muhammad Athar Farid, Hafiz Muhammad Shakeel, Muhammad Aslam, Sara Hassan Mohamed. Innovative q-rung orthopair fuzzy prioritized aggregation operators based on priority degrees with application to sustainable energy planning: A case study of Gwadar[J]. AIMS Mathematics, 2021, 6(11): 12795-12831. doi: 10.3934/math.2021739

    Related Papers:

  • Clean energy potential can be used on a large scale in order to achieve cost competitiveness and market effectiveness. This paper offers sufficient information to choose renewable technology for improving the living conditions of the local community while meeting energy requirements by employing the notion of q-rung orthopair fuzzy numbers (q-ROFNs). In real-world situations, a q-ROFN is exceptionally useful for representing ambiguous/vague data. A multi-criteria decision-making (MCDM) is proposed in which the parameters have a prioritization relationship and the idea of a priority degree is employed. The aggregation operators (AOs) are formed by awarding non-negative real numbers known as priority degrees among strict priority levels. Consequently, some prioritized operators with q-ROFNs are proposed named as "q-rung orthopair fuzzy prioritized averaging (q-ROFPAd) operator with priority degrees and q-rung orthopair fuzzy prioritized geometric (q-ROFPGd) operator with priority degrees". The results of the proposed approach are compared with several other related studies. The comparative analysis results indicate that the proposed approach is valid and accurate which provides feasible results. The characteristics of the existing method are often compared to other current methods, emphasizing the superiority of the presented work over currently used operators. Additionally, the effect of priority degrees is analyzed for information fusion and feasible ranking of objects.


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