N GAYATHRI
@skasc.ac.in
Assistant Professor, Department of Mathematics
Sri Krishna Arts and Science College
RESEARCH, TEACHING, or OTHER INTERESTS
Applied Mathematics, Geometry and Topology, Theoretical Computer Science
Scopus Publications
Scholar Citations
Scholar h-index
Scopus Publications
N Gayathri, , M Helen, and
American Scientific Publishing Group
The notions of semi-connectedness and semi-compactness in linguistic neutrosophic topological space are presented and some of their properties are discussed in this study. Further, the idea of linguistic neutrosophic semi-compact space is instigated and investigated.
N. Gayathri, M. Helen, and P. Mounika
AIP Publishing
Many scientists wish to obtain appropriate solutions to some mathematical problems that cannot be solved by traditional methods. For representing and manipulating uncertain, incomplete, inconsistent or imprecise, Neutrosophic relation database model is a more general platform, in the human decision-making process. In this paper, we study and examine about Neutrosophic vague Measure utilizing Python and furthermore Various Measure in Neutrosophic Vague Sets with some example. in this paper, we utilized example to study about the Various Measure in Neutrosophic Vague Sets and Python programming labguage.
N. Gayathri, M. Helen and P. Mounika
In this paper, we introduce the concept of Jaccard index measures under the neutrosophic environment to make the right decision in multiple attributes. Here, we insinuate two Jaccard index measures based on distance and the included weighted Jaccard of two vectors between the neutrosophic environment. Then, we determine the Multiple Attribute group decision-making method (in short MAGDM) based on the Jaccard index measures under the neutrosophic environment and also we compare the applications of the proposed MAGDM method in the neutrosophic environment. Finally, certain descriptive examples are on hand to verify the residential handle and to express its practicality and effectiveness.