IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i9p2186-d1140207.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/9/2186/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/11/9/2186/
    Download Restriction: no
    ---><---

    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. 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).
    4. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shengjun Wu & Jie Wang & Guiwu Wei & Yu Wei, 2018. "Research on Construction Engineering Project Risk Assessment with Some 2-Tuple Linguistic Neutrosophic Hamy Mean Operators," Sustainability, MDPI, vol. 10(5), pages 1-26, May.
    2. Ibtesam Alshammari & Mani Parimala & Cenap Ozel & Muhammad Riaz & Rania Kammoun, 2022. "New MCDM Algorithms with Linear Diophantine Fuzzy Soft TOPSIS, VIKOR and Aggregation Operators," Mathematics, MDPI, vol. 10(17), pages 1-22, August.
    3. Kuei-Hu Chang, 2022. "A novel reliability calculation method under neutrosophic environments," Annals of Operations Research, Springer, vol. 315(2), pages 1599-1615, August.
    4. Nuraini Rahim & Lazim Abdullah & Binyamin Yusoff, 2020. "A Border Approximation Area Approach Considering Bipolar Neutrosophic Linguistic Variable for Sustainable Energy Selection," Sustainability, MDPI, vol. 12(10), pages 1-21, May.
    5. Anam Habib & Zareen A. Khan & Muhammad Riaz & Dragan Marinkovic, 2023. "Performance Evaluation of Healthcare Supply Chain in Industry 4.0 with Linear Diophantine Fuzzy Sine-Trigonometric Aggregation Operations," Mathematics, MDPI, vol. 11(12), pages 1-29, June.
    6. Wendi Chen & Jiaxing Gu & Shouzhen Zeng & Xiaoying Xie, 2023. "Solid Waste Landfill Site Assessment Framework Based on Single-Valued Neutrosophic Hybrid Aggregation and Multi-Criteria Analysis," Sustainability, MDPI, vol. 15(7), pages 1-21, March.
    7. Khah, Mohammad Vahabi & Zahedi, Rahim & Mousavi, Mohammad Sadegh & Ahmadi, Abolfazl, 2023. "Forecasting renewable energy utilization by Iran's water and wastewater industries," Utilities Policy, Elsevier, vol. 82(C).
    8. Zhang, Sheng & Liu, Jun & Zhang, Xia & Wang, Fenghao, 2024. "Properly shortening design time scale of medium-deep borehole heat exchanger for high building heating performances with high computational efficiency," Energy, Elsevier, vol. 290(C).
    9. Konstantinos Ioannou & Evangelia Karasmanaki & Despoina Sfiri & Spyridon Galatsidas & Georgios Tsantopoulos, 2023. "A Machine Learning Approach for Investment Analysis in Renewable Energy Sources: A Case Study in Photovoltaic Farms," Energies, MDPI, vol. 16(23), pages 1-19, November.
    10. Qaisar Khan & Peide Liu & Tahir Mahmood, 2018. "Some Generalized Dice Measures for Double-Valued Neutrosophic Sets and Their Applications," Mathematics, MDPI, vol. 6(7), pages 1-16, July.
    11. Juan-juan Peng & Chao Tian & Zhi-qiang Zhang & Hai-yu Song & Jian-qiang Wang, 2019. "Single-Valued Neutrosophic Power Shapley Choquet Average Operators and Their Applications to Multi-Criteria Decision-Making," Mathematics, MDPI, vol. 7(11), pages 1-27, November.
    12. Naeem Jan & Kifayat Ullah & Tahir Mahmood & Harish Garg & Bijan Davvaz & Arsham Borumand Saeid & Said Broumi, 2019. "Some Root Level Modifications in Interval Valued Fuzzy Graphs and Their Generalizations Including Neutrosophic Graphs," Mathematics, MDPI, vol. 7(1), pages 1-22, January.
    13. Chao Tian & Wen Yu Zhang & Shuai Zhang & Juan Juan Peng, 2019. "An Extended Single-Valued Neutrosophic Projection-Based Qualitative Flexible Multi-Criteria Decision-Making Method," Mathematics, MDPI, vol. 7(1), pages 1-16, January.
    14. Senocak, Ahmet Alp & Guner Goren, Hacer, 2023. "Three-phase artificial intelligence-geographic information systems-based biomass network design approach: A case study in Denizli," Applied Energy, Elsevier, vol. 343(C).
    15. Taghikhah, Firouzeh Rosa & Taghikhah, Masoud & Marshall, Jonathan Paul & Voinov, Alexey, 2024. "Navigating the community renewable energy landscape: An analytics-driven policy formulation," Applied Energy, Elsevier, vol. 362(C).
    16. Izabela Jonek-Kowalska & Sara Rupacz, 2023. "The Innovative Nature of Selected Polish Companies in the Energy Sector Compared to the Use of Renewable Energy Sources from a Financial and an Investor’s Perspective," Resources, MDPI, vol. 12(12), pages 1-19, December.
    17. Yanran Hong & Dongsheng Xu & Kaili Xiang & Han Qiao & Xiangxiang Cui & Huaxiang Xian, 2019. "Multi-Attribute Decision-Making Based on Preference Perspective with Interval Neutrosophic Sets in Venture Capital," Mathematics, MDPI, vol. 7(3), pages 1-13, March.
    18. Zheng, Xidong & Chen, Huangbin & Jin, Tao, 2024. "A new optimization approach considering demand response management and multistage energy storage: A novel perspective for Fujian Province," Renewable Energy, Elsevier, vol. 220(C).
    19. Zhang, Sheng & Liu, Jun & Wang, Fenghao & Chai, Jiale, 2023. "Design optimization of medium-deep borehole heat exchanger for building heating under climate change," Energy, Elsevier, vol. 282(C).
    20. Jiongmei Mo & Han-Liang Huang, 2019. "( T , S )-Based Single-Valued Neutrosophic Number Equivalence Matrix and Clustering Method," Mathematics, MDPI, vol. 7(1), pages 1-16, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:11:y:2023:i:9:p:2186-:d:1140207. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.