The objective of the study is to find out the relationship between the disease and the
symptoms seen with the patient and diagnose the disease that impacted the patient using …

The similarity measure is an important indicator of the degree of similarity between two
objects and is widely used in pattern recognition, medical diagnosis, and decision-making …

The use of similarity measures in interval-valued neutrosophic sets (IVNSs) theory is
essential for comparing and assessing the degree of IVNSs difference. However, existing …

The so-called wall hanging is actually a decorative picture hung indoors. It can also be said
that painting, printing, dyeing, weaving, and embroidery on the fabric. The difference …

This paper presents architecture for extracting context features from electronic health
records (EHR) to design a clinical support system using transfer learning for natural …

The single-valued neutrosophic (SVNS) set is a beneficial and significant tool to deal with
uncertainty with the neutrality of truth. This article introduces a non-conventional asymmetric …

This paper focuses on introducing a new similarity measure for the neutrosophic binary set.
Similarity measure are used in multi attribute desicion making problems to find the difference …

To analyse the student's academic performance, a new prediction model is developed. This
proposed model collects the student's data from standard online sources. At first, these …

In this article, we introduce some different distance measures on penta-partitioned
neutrosophic sets and some distance measures satisfy axioms of metric. We also formulate …

Breast cancer is one of the most common types of cancer that affects women globally and it
is the primary cause of death. Early detection of breast cancer is a vital process that can …