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Efficient Decision Making for Sustainable Energy Using Single-Valued Neutrosophic Prioritized Interactive Aggregation Operators

Author

Listed:
  • Muhammad Riaz

    (Department of Mathematics, University of the Punjab, Lahore 54590, Pakistan)

  • Hafiz Muhammad Athar Farid

    (Department of Mathematics, University of the Punjab, Lahore 54590, Pakistan)

  • Jurgita Antucheviciene

    (Department of Construction Management and Real Estate, Vilnius Gediminas Technical University, Sauletekio al. 11, LT-10223 Vilnius, Lithuania)

  • Gülay Demir

    (Department of Medical Services and Techniques, Vocational School of Health Services, Sivas Cumhuriyet University, Sivas 58140, Turkey)

Abstract

To reduce greenhouse gas emissions, conserve the environment, and reduce dependency on fossil fuels, the transition from fossil energy to renewable energy is deemed essential. Several companies around the globe, especially big conglomerates, were pioneers in the use of renewable energy. For sustainable growth, Pakistani businesses are growing increasingly interested in the use of green sources in manufacturing and economic activities. In recent years, there has been a growth in the number of companies that are eager to use renewable energies to produce products that correspond to green standards, therefore boosting their competitiveness. Yet, the selection of an appropriate energy source for any industrially complex project is not a simple task, as numerous qualitative and quantitative characteristics must be considered. To arrive at a feasible conclusion, this research provides a multi-criteria paradigm for sustainable energy selection in a single-valued neutrosophic environment. This work developed an innovative aggregation operators approach that interprets the input evaluation using single-valued neutrosophic numbers. For this, a “single-valued neutrosophic prioritized interactive weighted averaging operator and single-valued neutrosophic prioritized interactive weighted geometric operator” has been introduced. Several additional appealing features of these aggregation operators are also discussed. The application of the recommended operators for sustainable energy related to the industrial complex is discussed. A comparison analysis proves the empirical existence of the suggested methodology’s consistency and superiority.

Suggested Citation

  • Muhammad Riaz & Hafiz Muhammad Athar Farid & Jurgita Antucheviciene & Gülay Demir, 2023. "Efficient Decision Making for Sustainable Energy Using Single-Valued Neutrosophic Prioritized Interactive Aggregation Operators," Mathematics, MDPI, vol. 11(9), pages 1-29, May.
  • Handle: RePEc:gam:jmathe:v:11:y:2023:i:9:p:2186-:d:1140207
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    References listed on IDEAS

    as
    1. Juan-juan Peng & Jian-qiang Wang & Jing Wang & Hong-yu Zhang & Xiao-hong Chen, 2016. "Simplified neutrosophic sets and their applications in multi-criteria group decision-making problems," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(10), pages 2342-2358, July.
    2. Chunfang Liu & YueSheng Luo, 2016. "The Weighted Distance Measure Based Method to Neutrosophic Multiattribute Group Decision Making," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-8, May.
    3. Jun Ye, 2017. "Single-Valued Neutrosophic Clustering Algorithms Based on Similarity Measures," Journal of Classification, Springer;The Classification Society, vol. 34(1), pages 148-162, April.
    4. Izanloo, Milad & Aslani, Alireza & Zahedi, Rahim, 2022. "Development of a Machine learning assessment method for renewable energy investment decision making," Applied Energy, Elsevier, vol. 327(C).
    5. Aiyared Iampan & Gustavo Santos García & Muhammad Riaz & Hafiz Muhammad Athar Farid & Ronnason Chinram & Basil Papadopoulos, 2021. "Linear Diophantine Fuzzy Einstein Aggregation Operators for Multi-Criteria Decision-Making Problems," Journal of Mathematics, Hindawi, vol. 2021, pages 1-31, July.
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