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 -