4.6 Article

Remarks on Wiener Index of Bipolar Fuzzy Incidence Graphs

期刊

FRONTIERS IN PHYSICS
卷 9, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fphy.2021.677882

关键词

bipolar fuzzy incidence graph; topology index; distance; geodesics; graph

资金

  1. Natural Science Foundation of Guangdong Province of China [2020A1515010784]
  2. Guangdong University of Science and Technology University Major Scientific Research Achievement Cultivation Program Project 2020
  3. Provincial key platforms and major scientific research projects in Guangdong universities in 2018 [2018KTSCX261]

向作者/读者索取更多资源

This article investigates the Wiener index on bipolar fuzzy incidence graphs, determining the lower and upper bounds for positive and negative Wiener index, and discussing the relationship between the original graph and its subgraph. The Wiener absolute index is introduced, and conclusions are drawn in terms of geodesic distance analysis. Additionally, the equality of Wiener index and Wiener absolute index for two isomorphic bipolar fuzzy incidence graphs is demonstrated.
Fuzzy data plays an important role in daily life, and fuzzy structured data is usually represented by fuzzy graphs, where the graph structure is used to describe the associated structure of the fuzzy data. Based on the definition of Wiener index on bipolar fuzzy incidence graphs, this article continues to study the characteristics of this distance based topological index. The lower and upper bounds for positive and negative Wiener index of fuzzy bipolar incidence graph are determined respectively, and the relationship of Wiener index between original graph and its subgraph is discussed. The Wiener absolute index on bipolar fuzzy incidence graph is introduced accordingly, and several conclusions are determined in terms of geodesics distance analysis. Furthermore, we demonstrate the equality of Wiener index and Wiener absolute index for two isomorphic bipolar fuzzy incidence graphs.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据