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Prognostication of Myocardial Infarction Using Lattice Ordered Linear Diophantine Multi-fuzzy Soft Set

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Abstract

In modern nations, people are more conscious of their health. As a result, one of the most active research fields has been improving medical field applications. According to medical data, Myocardial Infarction (MI) is the leading cause of illness and mortality worldwide. The diagnosis of MI involves a lot of uncertain values and imprecise information. Linear Diophantine Fuzzy Set (LDFS) removes the restrictions of existing prevailed concepts such as Intuitionistic Fuzzy Set (IFS), Pythagorean Fuzzy Set (PFS), and q-Rung Orthopair Fuzzy Set (q-ROFS). In this manuscript, we impart the idea of Linear Diophantine Multi-Fuzzy Soft Set (LDMFSS) and inspect some depict rudimentary properties. An order between parameters is established and the innovative theory of Lattice ordered Linear Diophantine Multi-Fuzzy Soft Set (LLDMFSS) is launched. The algorithmic approach is instigated by introducing Root Mean Square Sum (RMSS) soft set for diagnosing the risk level of patients, since Heart disease diagnosis continues to be a significant challenge for medical professionals with less experience. Here, our suggested theory is designed to address such a problem by considering the people who are most impacted by MI. In order to prioritize the parameters based on our demands, LLDMFSS is best appropriate for particular types of difficulties. The main goal is to introduce the idea of LLDMFSS and the use of LLDMFSS to predict MI. Its superiority is demonstrated with a comparison of our proposed work to current fuzzy sets.

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Author information

Authors and Affiliations

  1. Department of Mathematics, Alagappa University, Karaikudi, Tamilnadu, India

    Jayakumar Vimala & Kannan Jeevitha

  2. School of Mathematics, Thapar Institute of Engineering and Technology (Deemed University), Patiala, Punjab, 147004, India

    Harish Garg

  3. Department of Mathematics, Graphic Era Deemed to be University, Dehradun, Uttarakhand, 248002, India

    Harish Garg

  4. Applied Science Research Center, Applied Science Private University, Amman, 11931, Jordan

    Harish Garg

  5. College of Technical Engineering, The Islamic University, Najaf, Iraq

    Harish Garg

Authors
  1. Jayakumar Vimala
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  3. Kannan Jeevitha
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All the authors contributed equally to this manuscript.

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Correspondence to Harish Garg.

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Vimala, J., Garg, H. & Jeevitha, K. Prognostication of Myocardial Infarction Using Lattice Ordered Linear Diophantine Multi-fuzzy Soft Set. Int. J. Fuzzy Syst. 26, 44–59 (2024). https://doi.org/10.1007/s40815-023-01574-2

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  • DOI: https://doi.org/10.1007/s40815-023-01574-2

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