A generalized hybrid distance measure for SVNS with an application in medical diagnosis
Year: 2024
Type: article
Abstract: A generalized hybrid distance measure of a single value neutrosophic set (SVNS) is proposed to analyze the patient’s factors and diseases. Since Neutrosophic Set (NS) may communicate contradictory and ambiguous information, it is a crucial and useful tool for modelling uncertainty information. A distance measure for NS information is a key tool that is always employed in many approaches including medical diagnostics. Several distance measures in NS can be found in the literature, however, only a few of them proposed hybrid techniques. This paper aims to develop a new distance measure by considering exponential function and to define new hybrid distance measures for NS. The work also includes the formulation of the properties and application in the medical diagnosis for the validity phase. This study examines the possibility of cardiac problems in pregnant women. The eight factors considered in this study are age, obesity, smoking, family pathological history, personal pathological history, electrocardiogram, ultrasound, and functional class. The generalized hybrid distance measure has been used to discuss the factors of six different diseases, present consistent results.
Authors: Norzieha Mustapha, Suriana Alias, Roliza Md Yasin, Alia Nur Izzah Zulkifli, Noorazliyana Shafii, Florentin Smarandache
Language: English
Topic: Fuzzy and Soft Set Theory
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6930449953
FWCI:
Cites:
Cited by:
Related to: