TY - JOUR

T1 - Fuzzy Computational Analysis of Flower Graph via Fuzzy Topological Indices

AU - Tabraiz, Ali

AU - Mufti, Zeeshan Saleem

AU - Aslam, Muhammad Nauman

AU - Saleem, Naeem

AU - Hosseinzadeh, Hasan

N1 - Publisher Copyright:
Copyright © 2023 Ali Tabraiz et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

PY - 2023

Y1 - 2023

N2 - Fuzzy graphs have many applications not only in mathematics but also in any field of science where the concept of fuzziness is involved. The notion of fuzziness is suitable in any environment, which favor to predicts the problem and solve this problem in a decent way. As compared to crisp theory, fuzzy graphs are a more beneficial and powerful tool to get better accuracy and precision due to their fuzziness property. A topological index is a numerical value which characterizes the properties of the graph. Topological indices were basically developed for chemical structures, but these are also used for general graphs as well. In chemical graph theory, topological indices are used to extract the chemical properties of the graphs. These indices are also well studied in fuzzy environment. Applications of fuzzy graphs are found in medicines, telecommunications, traffic light control, and many more. Our aim is to find these fuzzy topological indices for flower graphs to strengthen the concepts of fuzziness in general graphs. In this paper, some novel results for fm×r flower graphs are achieved.

AB - Fuzzy graphs have many applications not only in mathematics but also in any field of science where the concept of fuzziness is involved. The notion of fuzziness is suitable in any environment, which favor to predicts the problem and solve this problem in a decent way. As compared to crisp theory, fuzzy graphs are a more beneficial and powerful tool to get better accuracy and precision due to their fuzziness property. A topological index is a numerical value which characterizes the properties of the graph. Topological indices were basically developed for chemical structures, but these are also used for general graphs as well. In chemical graph theory, topological indices are used to extract the chemical properties of the graphs. These indices are also well studied in fuzzy environment. Applications of fuzzy graphs are found in medicines, telecommunications, traffic light control, and many more. Our aim is to find these fuzzy topological indices for flower graphs to strengthen the concepts of fuzziness in general graphs. In this paper, some novel results for fm×r flower graphs are achieved.

UR - http://www.scopus.com/inward/record.url?scp=85168826473&partnerID=8YFLogxK

U2 - 10.1155/2023/8077729

DO - 10.1155/2023/8077729

M3 - Article

AN - SCOPUS:85168826473

SN - 2314-4629

VL - 2023

JO - Journal of Mathematics

JF - Journal of Mathematics

M1 - 8077729

ER -