An Algorithmic Approach to Bridge Detection in Bijective Neutrosophic  Graph with Application in Cancer Diagnosis

D.Rajalaxmi; V.Vijaya; S.Revath

Authors

D.Rajalaxmi PG and Research Department of Mathematics, Seethalakshmi Ramaswami College, Tiruchirappalli,(Affiliated to Bharathidasan University, Tiruchirappalli), India.
V.Vijaya PG and Research Department of Mathematics, Seethalakshmi Ramaswami College, Tiruchirappalli,(Affiliated to Bharathidasan University, Tiruchirappalli), India.
S.Revath Department of Mathematics, Saranathan College of Engineering, Tiruchirappalli, India

Keywords:

Neutrosophic Graph; Bijective Neutrosophic graph; T-bridge, I-bridge, F bridge; and Neutrosophic Bridge.

Abstract

This paper introduces an efficient algorithm for detecting bridges in Bijective
neutrosophic graphs, an emerging approach in handling uncertainty in complex systems such
as medical diagnostics. The algorithm identifies T-bridges, I- bridges and F-bridges in
neutrosophic graphs, and incorporates a de neutrosophication method using score function to
find neutrosophic bridges when needed. The application of the algorithm to cancer diagnosis
is explored, demonstrating its potential to enhance disease identification and treatment
planning based on symptoms. The result suggest that this method can improve the accuracy
of medical decision- making in uncertain environments, thereby offering a promising tool for
healthcare analysis. By providing a more precise understanding of medical data, this
approach has the potential to optimize diagnostic processes and treatment strategies in
uncertain and indeterminate contexts.

DOI 10.5281/zenodo.17335289