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Novel Fermatean Fuzzy Aczel–Alsina Model for Investment Strategy Selection

Author

Listed:
  • Iftikhar Ul Haq

    (Department of Mathematics, Air University, PAF Complex E-9, Islamabad 44230, Pakistan)

  • Tanzeela Shaheen

    (Department of Mathematics, Air University, PAF Complex E-9, Islamabad 44230, Pakistan)

  • Wajid Ali

    (Department of Mathematics, Air University, PAF Complex E-9, Islamabad 44230, Pakistan)

  • Hamza Toor

    (Department of Biomedical Engineering, Riphah International University, Islamabad 45320, Pakistan)

  • Tapan Senapati

    (Department of Mathematics, Padima Janakalyan Banipith, Kukrakhupi, Jhargram 721517, India)

  • Francesco Pilla

    (School of Architecture Planning and Environmental Policy, University College Dublin, Belfield, D04 V1W8 Dublin, Ireland)

  • Sarbast Moslem

    (School of Architecture Planning and Environmental Policy, University College Dublin, Belfield, D04 V1W8 Dublin, Ireland)

Abstract

For choosing the optimal option for multiple issues, the multiattribute decision-making (MADM) technique within a Fermatean fuzzy environment is a well-known and significant method. This paper presents a novel superiority inferiority ranking (SIR) approach for Fermatean fuzzy sets in group decision-making using multicriteria to reduce investment risk. This approach aims to evaluate the strategies for selecting the optimal investment company. The SIR method is depicted, and its effectiveness in decision-making is explored. In this manuscript, we develop new types of A c z e l –A l s i n a operations on the Fermatean fuzzy environment and Fermatean Fuzzy A c z e l –A l s i n a (FF-AA) average aggregation operators, including their properties such as idempotency, monotonicity, and boundedness. Further, we introduce a Fermatean fuzzy A c z e l –A l s i n a weighted average closeness coefficient (FF-AA-WA- C C ) aggregation operator (AO) based on the closeness coefficient for MAGDM issues. By utilizing the proposed technique, we solve a numerical example of an MAGDM problem. The results show that this approach is accurate and practical, and consistent with a realistic investment circumstance. A demonstration was created to emphasize the significance and credibility of this approach and assess its validity by comparing its outcomes with the established methods.

Suggested Citation

  • Iftikhar Ul Haq & Tanzeela Shaheen & Wajid Ali & Hamza Toor & Tapan Senapati & Francesco Pilla & Sarbast Moslem, 2023. "Novel Fermatean Fuzzy Aczel–Alsina Model for Investment Strategy Selection," Mathematics, MDPI, vol. 11(14), pages 1-23, July.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:14:p:3211-:d:1199729
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    References listed on IDEAS

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    1. Neal M. Stoughton & Youchang Wu & Josef Zechner, 2011. "Intermediated Investment Management," Journal of Finance, American Finance Association, vol. 66(3), pages 947-980, June.
    2. JULES H. Van BINSBERGEN & MICHAEL W. BRANDT & RALPH S. J. KOIJEN, 2008. "Optimal Decentralized Investment Management," Journal of Finance, American Finance Association, vol. 63(4), pages 1849-1895, August.
    3. Andrew Metrick, 1999. "Performance Evaluation with Transactions Data: The Stock Selection of Investment Newsletters," Journal of Finance, American Finance Association, vol. 54(5), pages 1743-1775, October.
    4. Muhammad Riaz & Dragan Pamucar & Anam Habib & Mishal Riaz, 2021. "A New TOPSIS Approach Using Cosine Similarity Measures and Cubic Bipolar Fuzzy Information for Sustainable Plastic Recycling Process," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-18, December.
    5. Muhammad Akram & Gulfam Shahzadi & Abdullah Ali H. Ahmadini & Tahir Mahmood, 2020. "Decision-Making Framework for an Effective Sanitizer to Reduce COVID-19 under Fermatean Fuzzy Environment," Journal of Mathematics, Hindawi, vol. 2020, pages 1-19, October.
    6. Xu, Xiaozhan, 2001. "The SIR method: A superiority and inferiority ranking method for multiple criteria decision making," European Journal of Operational Research, Elsevier, vol. 131(3), pages 587-602, June.
    7. Jeffrey A. Busse & Amit Goyal & Sunil Wahal, 2010. "Performance and Persistence in Institutional Investment Management," Journal of Finance, American Finance Association, vol. 65(2), pages 765-790, April.
    8. Muhammad Riaz & Dragan Pamucar & Anam Habib & Nimra Jamil & Ardashir Mohammadzadeh, 2022. "Innovative Bipolar Fuzzy Sine Trigonometric Aggregation Operators and SIR Method for Medical Tourism Supply Chain," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-17, June.
    9. Erhan Bayraktar & Virginia Young, 2010. "Optimal investment strategy to minimize occupation time," Annals of Operations Research, Springer, vol. 176(1), pages 389-408, April.
    10. Burton G. Malkiel, 2003. "Passive Investment Strategies and Efficient Markets," European Financial Management, European Financial Management Association, vol. 9(1), pages 1-10, March.
    11. Shyng, Jhieh-Yu & Shieh, How-Ming & Tzeng, Gwo-Hshiung & Hsieh, Shu-Huei, 2010. "Using FSBT technique with Rough Set Theory for personal investment portfolio analysis," European Journal of Operational Research, Elsevier, vol. 201(2), pages 601-607, March.
    12. Harish Garg & Muhammad Riaz & Muhammad Abdullah Khokhar & Maryam Saba, 2021. "Correlation Measures for Cubic m-Polar Fuzzy Sets with Applications," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-19, September.
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