Application Of Multi Fuzzy Graph In Medical Diagnosis By using Various Distance Measures

Authors

  • R.Muthuraj PG and Research Department of Mathematics, H.H.The Rajah’s College, Pudukkottai -622001, Affiliated to Bharathidasan University, Tiruchirappalli, Tamilnadu, India https://orcid.org/0009-0005-3174-762X
  • K.Krithika Part time Research Scholar, PG and Research Department of Mathematics, H.H.The Rajah’s College, Pudukkottai -622001, Affiliated to Bharathidasan University, Tiruchirappalli,Tamilnadu, India https://orcid.org/0009-0005-3174-762X
  • S.Revathi Department of Mathematics, Saranathan College of Engineering, Trichy – 620012, Tamilnadu, India https://orcid.org/0009-0005-3174-762X

Keywords:

Multi fuzzy graph, strength of a vertex, strength of an edge, Proposed distance measures

Abstract

Nowadays, similarity measures play an essential role in many areas, such as medical diagnosis, pattern recognition and clustering etc.,Most mathematicians and researchers worked on numerous decision making problems in intuitionistic fuzzy sets and the intuitionistic fuzzy multi sets by operating similarity measures.This motivates us to involve various distance measures in multi fuzzy graph.In this paper, the definition of bipartite and complete bipartite multi fuzzy graph, the strength of a vertex and the strength of an edge in the multifuzzy graph are defined.Using various  distance measures, we have examined the application of multi fuzzy graph in medical diagnosis.

Downloads

Published

2024-09-18

How to Cite

R.Muthuraj, K.Krithika, & S.Revathi. (2024). Application Of Multi Fuzzy Graph In Medical Diagnosis By using Various Distance Measures. Journal of Computational Analysis and Applications (JoCAAA), 33(05), 569–576. Retrieved from http://eudoxuspress.com/index.php/pub/article/view/572

Issue

Vol. 33 No. 05 (2024): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Similar Articles

<< < 1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.