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An application of Gauss neutrosophic numbers in medical diagnosis

Dilnoz MuhamediyevaScience and innovation center for information and communication technologies, Tashkent University of Information Technologies named after Muhammad Al-Khwarizmi, Tashkent, UzbekistanNodir EgamberdiyevScience and innovation center for information and communication technologies, Tashkent University of Information Technologies named after Muhammad Al-Khwarizmi, Tashkent, Uzbekistan

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The obscure set is a useful mathematical tool for dealing with uncertainty. However, sometimes these theories may not be sufficient to model the vague and contradictory information encountered in the real world. To overcome this shortcoming, it has been suggested to work with neutrosophic set theory and neutrosophic numbers, which are useful in practical applications. In this paper, Gauss's concepts of neutrosophic numbers, cross-section, and parametric shape are defined. A decision-making algorithm using Gauss's neutrosophic number operations was developed and applied to the problem of classification of medical emblems.

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