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Nithyanandham, D., Augus-tin, F., Narayanamoorthy, S., Ahmadian, A., Balaenu, D. and Kang, D. (2023) Bipolar Intuitionistic Fuzzy Graph Based Decision-Making Model to Identify Flood Vulnerable Region. Environmental Science and Pollution Research, 30, 125254-125274. https://doi.org/10.1007/s11356-023-27548-3

has been cited by the following article:

• TITLE: Distances between Bipolar Fuzzy Graphs

  AUTHORS: Wei Gao

  KEYWORDS: Fuzzy Graph, Bipolar Fuzzy Graph, Distance

  JOURNAL NAME: Open Access Library Journal, Vol.12 No.3, March 24, 2025

  ABSTRACT: Bipolar fuzzy graphs use positive and negative membership functions to characterize the uncertainty of structured fuzzy data. This article extends the concept of network distance to bipolar fuzzy graphs, provides corresponding definitions, and obtains several remarks.