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Neutrosophic Cubic Einstein Hybrid Geometric Aggregation Operators with Application in Prioritization Using Multiple Attribute Decision-Making Method

Author

Listed:
  • Khaleed Alhazaymeh

    (Department of Basic Science and Mathematics, Faculty of Sciences, Philadelphia University, Amman 19392, Jordan)

  • Muhammad Gulistan

    (Department of Mathematics and Statistics, Hazara University Mansehra, 21130, Pakistan)

  • Majid Khan

    (Department of Mathematics and Statistics, Hazara University Mansehra, 21130, Pakistan)

  • Seifedine Kadry

    (Department of Mathematics and Computer Science, Faculty of Science, Beirut Arab University, P.O. Box 11-5020, Beirut 11072809, Lebanon)

Abstract

Viable collection is one of the imperative instruments of decision-making hypothesis. Collection operators are not simply the operators that normalize the value; they represent progressively broad values that can underline the entire information. Geometric weighted operators weight the values only, and the ordered weighted geometric operators weight the ordering position only. Both of these operators tend to the value that relates to the biggest weight segment. Hybrid collection operators beat these impediments of weighted total and request total operators. Hybrid collection operators weight the incentive as well as the requesting position. Neutrosophic cubic sets (NCs) are a classification of interim neutrosophic set and neutrosophic set. This distinguishing of neutrosophic cubic set empowers the decision-maker to manage ambiguous and conflicting data even more productively. In this paper, we characterized neutrosophic cubic hybrid geometric accumulation operator (NCHG) and neutrosophic cubic Einstein hybrid geometric collection operator (NCEHG). At that point, we outfitted these operators upon an everyday life issue which empoweredus to organize the key objective to develop the industry.

Suggested Citation

  • Khaleed Alhazaymeh & Muhammad Gulistan & Majid Khan & Seifedine Kadry, 2019. "Neutrosophic Cubic Einstein Hybrid Geometric Aggregation Operators with Application in Prioritization Using Multiple Attribute Decision-Making Method," Mathematics, MDPI, vol. 7(4), pages 1-16, April.
    • Handle: RePEc:gam:jmathe:v:7:y:2019:i:4:p:346-:d:221705
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    References listed on IDEAS

    as
    1. M. Jalali Varnamkhasti & Nasruddin Hassan, 2012. "Neurogenetic Algorithm for Solving Combinatorial Engineering Problems," Journal of Applied Mathematics, Hindawi, vol. 2012, pages 1-12, September.
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