Fuzzy Topological Characterization of qCn Graph via Fuzzy Topological Indices

Fuzzy Topological Characterization of qCn Graph via Fuzzy Topological Indices

Fuzzy topological indices are one of the accomplished mathematical approaches for numerous technology, engineering, and real-world problems such as telecommunications, social networking, traffic light controls, marine, neural networks, Internet routing, and wireless sensor network (Muneera et al. (2...

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Veröffentlicht in:Journal of mathematics (Hidawi) 2023, Vol.2023
Hauptverfasser: Mufti, Zeeshan Saleem, Anjum, Rukhshanda, Tawfiq, Ferdous M. O., Tabraiz, Ali, Xin, Qin, Akter, Dilruba
Format: Artikel
Sprache:eng
Schlagworte:
Air travel
Algorithms
Artificial intelligence
Chemistry
Cities
Computer science
Fuzzy logic
Fuzzy sets
Graphs
Labeling
Machine learning
Mathematics
Neural networks
Routing (telecommunications)
Social networks
Topology
Traffic control
Traffic signals
Wireless sensor networks
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Zusammenfassung:Fuzzy topological indices are one of the accomplished mathematical approaches for numerous technology, engineering, and real-world problems such as telecommunications, social networking, traffic light controls, marine, neural networks, Internet routing, and wireless sensor network (Muneera et al. (2021)). This manuscript comprises the study of a particular class of graphs known as qCn snake graphs. Some innovative results regarding fuzzy topological indices have been established. The major goal of the work is to introduce the notions of First Fuzzy Zagrab Index, Second Fuzzy Zagrab Index, Randic Fuzzy Zagrab Index, and Harmonic Fuzzy Zagrab Index of the qCn snake graph.
ISSN:2314-4629
2314-4785
DOI:10.1155/2023/5141179