Investigating Fuzzy Topological indices of Linear and Cyclic Anthracene Hydrocarbon

This research focuses on the theoretical examination of the fuzzy graph of aromatic hydrocarbon of Anthracene and computes several fuzzy-based degree topological indices. The research introduces new definitions for the first Zagreb fuzzy index, forgotten index, and Y−index, and provides a general formula for fuzzy topology indices of Anthracene hydrocarbon by considering the degree of each edge. Moreover, a general formula is presented to determine the specific topology index of a hydrocarbon-based on the number of rows and columns. We compared the topological indices of linear Anthracene and found that the Randic and harmonic indices had the highest values. Continuing with the drawing of the Randic index surface, we concluded that when the number of parameters in the rows and columns of the Anthracene hydrocarbon is equal, the Randic index has the highest value. This approach can help researchers predict and estimate compounds' physical and chemical properties using topology indices and precise bond lengths and atomic mass calculations through software.

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Publication Details

Journal
Fuzzy Optimization and Decision Making
Published
2024-09-12
DOI
https://doi.org/10.71808/fomj.2024.1183654
Citations
1
Primary Topic
Graph theory and applications
Type
article
Field-Weighted Citation Impact
1.01
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Investigating Fuzzy Topological indices of Linear and Cyclic Anthracene Hydrocarbon

1 citations
Fuzzy Optimization and Decision Making
Graph theory and applications
1.01
article

Investigating Fuzzy Topological indices of Linear and Cyclic Anthracene Hydrocarbon

article en
1 citations

Abstract

This research focuses on the theoretical examination of the fuzzy graph of aromatic hydrocarbon of Anthracene and computes several fuzzy-based degree topological indices. The research introduces new definitions for the first Zagreb fuzzy index, forgotten index, and Y−index, and provides a general formula for fuzzy topology indices of Anthracene hydrocarbon by considering the degree of each edge. Moreover, a general formula is presented to determine the specific topology index of a hydrocarbon-based on the number of rows and columns. We compared the topological indices of linear Anthracene and found that the Randic and harmonic indices had the highest values. Continuing with the drawing of the Randic index surface, we concluded that when the number of parameters in the rows and columns of the Anthracene hydrocarbon is equal, the Randic index has the highest value. This approach can help researchers predict and estimate compounds' physical and chemical properties using topology indices and precise bond lengths and atomic mass calculations through software.

Fuzzy Optimization and Decision Making
Semnan University (IR)
Openalex Percentile: Top 20%
Graph theory and applications
1.01
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Investigating Fuzzy Topological indices of Linear and Cyclic Anthracene Hydrocarbon · Fuzzy Optimization and Decision Making (2024) | TGRS Research Map | TGRS