Novel Fuzzy Topological Descriptors for Characterizing Aromatic Hydrocarbons

Document Type : Research Paper

Authors
1 Faculty of Mathematics, Statistics and Computer Science, Semnan University, Semnan, Iran
2 Department of Mathematics, Statistics, and Computer Science, Semnan University, 35131-19111, Iran
Abstract
Fuzzy graphs have gained significant attention in diverse scientific fields, including mathematics and chemistry, owing to their superior accuracy and adaptability compared to conventional models. This study delves into a theoretical exploration of the fuzzy graph representation of aromatic hydrocarbons, focusing on the computation of several fuzzy-based degree topological indices. Novel definitions are introduced for the first Zagreb fuzzy index, Forgotten index, and Y-index, alongside a generalized formula for fuzzy topological indices of linear and cyclic aromatic hydrocarbons, incorporating edge degrees. Moreover, a comprehensive formula is derived to calculate specific topological indices of hydrocarbons based on the number of benzene rings. This methodology empowers researchers to predict and estimate compounds' physical and chemical properties by leveraging topological indices and precise calculations of bond lengths and atomic masses facilitated by computational software.
Keywords

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Volume 17, Issue 8
August 2026
Pages 88-102

  • Receive Date 13 April 2025
  • Accept Date 28 January 2026