Abstract
The connectivity index (CI), Wiener index (WI), and Randic index (RI) play a significant role in modeling various problems such as networking, transportation, and precise location detection. In this research, we explore these three indices within the framework of picture fuzzy graphs (PFGs). Initially, we present the definitions of connectivity index (CI) and Average Connectivity index (ACI) for picture fuzzy graphs. The connectivity index (CI) of a picture fuzzy graph proves to be particularly effective in addressing real-world problems related to precise location detection. As an illustration, in Sect. 4.1, we utilize the connectivity index (CI) of a picture fuzzy graph to identify the most suitable location for a school. Subsequently, we introduce the concepts of Wiener index (WI), Average Wiener index (AWI), and Hyper-Wiener index (WWI) for picture fuzzy graphs (PFGs). In Sect. 4.2, we demonstrate the application of the Wiener index in modeling intra-city journeys. Additionally, we discuss the important characteristics of these topological indices for picture fuzzy graphs. Furthermore, we investigate the relationship between the Randic index (RI) of a picture fuzzy graph and the Randic index of its subgraph, noting that the former is always greater than or equal to the latter.
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Arif, W., Khan, W.A., Khan, A. et al. Some indices of picture fuzzy graphs and their applications. Comp. Appl. Math. 42, 253 (2023). https://doi.org/10.1007/s40314-023-02393-9
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DOI: https://doi.org/10.1007/s40314-023-02393-9