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On Novel Hellinger Divergence Measure of Neutrosophic Hypersoft Sets in Symptomatic Detection of COVID-19
Neutrosophic Sets and Systems ; 55:265-284, 2023.
Article in English | Scopus | ID: covidwho-2314117
ABSTRACT
Numerous decision science processes involves the divergence measure is the most suitable information measure for dealing with the vagueness and impreciseness of the factors affecting the decision-making models. In this manuscript, a new kind of Hellinger information measure for a single-valued neutrosophic hypersoft set along with some important results have been presented and studied in detail. Also, we have presented the implementation of the proposed information measure to deal with the symptomatic detection of COVID-19 with a numerical illustration. In view of the existing methods related to divergence measures, some comparative results and remarks along with some important advantages have also been presented © 2023, Neutrosophic Sets and Systems.All Rights Reserved.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: Neutrosophic Sets and Systems Year: 2023 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: Neutrosophic Sets and Systems Year: 2023 Document Type: Article