An Optimized Decision Support Model for COVID-19 Diagnostics Based on Complex Fuzzy Hypersoft Mapping
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References listed on IDEAS
- Faruk Karaaslan, 2016. "Soft Classes and Soft Rough Classes with Applications in Decision Making," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-11, February.
- D. Ajay & J. Joseline Charisma & N. Boonsatit & P. Hammachukiattikul & G. Rajchakit & Broumi Said, 2021. "Neutrosophic Semiopen Hypersoft Sets with an Application to MAGDM under the COVID-19 Scenario," Journal of Mathematics, Hindawi, vol. 2021, pages 1-16, April.
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- Athar Kharal & B. Ahmad, 2011. "Mappings On Soft Classes," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 7(03), pages 471-481.
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- Abdellah Chehri & Francois Rivest, 2023. "Editorial for the Special Issue “Advances in Machine Learning and Mathematical Modeling for Optimization Problems”," Mathematics, MDPI, vol. 11(8), pages 1-5, April.
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Keywords
COVID-19; disease modelling; complex numbers (C-numbers); complex fuzzy hypersoft set; mapping; inverse mapping;All these keywords.
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