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Evaluation of Enterprise Production Based on Spherical Cubic Hamacher Aggregation Operators

Author

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  • Tehreem Ayaz

    (Department of Mathematics, Quaid-i-Azam University, Islamabad 45320, Pakistan)

  • Mohammad M. Al-Shomrani

    (Department of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Saleem Abdullah

    (Department of Mathematics, Abdul Wali Khan University Mardan, Mardan 23200, Pakistan)

  • Amjad Hussain

    (Department of Mathematics, Quaid-i-Azam University, Islamabad 45320, Pakistan)

Abstract

In the age of the information-based economy and the rapid advancements of data schemes, business management has been faced with extraordinary difficulties and has entered into a reasonable period where the board’s conventional enterprise execution assessment centers around the interests of investors. Speculators accept money-related information as their basis and focus on the investigation of material fascination, and in the event of the off chance that they do not, they cannot confirm the next economy period. In this way, enterprise execution reflects the interests of investors and business strategists for the needs of partners, which is significant for the forthcoming rivalry. Given that, the collection of data is a significant research tool that has lately been considered by researchers for data examination. In this paper, we have established multi-criteria decision-making methods for the assessment of business execution with spherical fuzzy information. We have applied Hamacher aggregation operators such as the spherical cubic fuzzy Hamacher weighted averaging (SCFHWA) operator, the spherical cubic fuzzy Hamacher ordered weighted averaging (SCFHOWA) operator, the spherical cubic fuzzy Hamacher hybrid averaging (SCFHHA) operator, the spherical cubic fuzzy Hamacher weighted geometric (SCFHWG) operator, the spherical cubic fuzzy Hamacher ordered weighted geometric (SCFHOWG) operator, and the spherical cubic fuzzy Hamacher hybrid geometric (SCFHHG) operator for the appraisal of the best choice of enterprise. We ultimately defend the proposed approach with the existing strategies for possibility and adequacy.

Suggested Citation

  • Tehreem Ayaz & Mohammad M. Al-Shomrani & Saleem Abdullah & Amjad Hussain, 2020. "Evaluation of Enterprise Production Based on Spherical Cubic Hamacher Aggregation Operators," Mathematics, MDPI, vol. 8(10), pages 1-40, October.
  • Handle: RePEc:gam:jmathe:v:8:y:2020:i:10:p:1761-:d:427021
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    References listed on IDEAS

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    2. Merigó, José M. & Casanovas, Montserrat & Yang, Jian-Bo, 2014. "Group decision making with expertons and uncertain generalized probabilistic weighted aggregation operators," European Journal of Operational Research, Elsevier, vol. 235(1), pages 215-224.
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    4. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 3.
    5. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 2.
    6. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 2.
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    8. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 3.
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    10. Aliya Fahmi & Fazli Amin & Saleem Abdullah & Asad Ali, 2018. "Cubic fuzzy Einstein aggregation operators and its application to decision-making," International Journal of Systems Science, Taylor & Francis Journals, vol. 49(11), pages 2385-2397, August.
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    Cited by:

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