Degree-based fuzzy indices analysis of two snake graphs

Fuzzy topological indices hold significant importance due to their applications in various real-world networks such as social networking, telecommunications, Engineering, Chemical graph theory, computational biochemistry, statistical physics etc. Through empirical assessments and comparative analyses, we showcase the efficacy of fuzzy degree-based topological indices in distinguishing between various graph structures, thereby advancing our understanding of graphs. The primary objective of this research is to evaluate the first fuzzy Zagreb index, second fuzzy Zagreb index, fuzzy Randić index, and fuzzy harmonic index for the underlined graphs.