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Bipolar fuzzy outerplanar graphs approach in image shrinking.

Deivanai Jaisankar1, Sujatha Ramalingam2, Nagarajan Deivanayagampillai3

  • 1Mathematics School of Science and Humanities, Shiv Nadar University Chennai, Rajiv Gandhi Salai (OMR), Kalavakkam, Chengalpattu, Tamil Nadu, 603110, India.

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Summary

This study introduces bipolar fuzzy outerplanar graphs and their properties. These graphs are utilized for image shrinking applications, demonstrating their practical utility in fuzzy graph theory.

Keywords:
Bipolar fuzzy dual graphsBipolar fuzzy graphBipolar maximum and maximal fuzzy outerplanar subgraphsVD and ED bipolar fuzzy outerplanar subgraphs

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Area of Science:

  • Graph Theory
  • Fuzzy Mathematics
  • Computer Science

Background:

  • Bipolar fuzzy graphs are a significant area within fuzzy graph theory.
  • Outerplanar graphs are a well-studied class of graphs with specific structural properties.

Purpose of the Study:

  • To introduce and define bipolar fuzzy outerplanar graphs.
  • To explore the properties of these graphs and their subgraphs.
  • To investigate the application of bipolar fuzzy outerplanar graphs in image shrinking.

Main Methods:

  • Definition and characterization of bipolar fuzzy outerplanar graphs.
  • Identification of subgraphs through vertex and edge deletion.
  • Exploration of maximum and maximal bipolar fuzzy outerplanar subgraphs.
  • Description of the bipolar fuzzy dual graph and its properties.

Main Results:

  • The paper establishes theorems and conclusions regarding the relationships between bipolar fuzzy outerplanar graphs and their subgraphs.
  • Properties of maximum and maximal subgraphs are detailed with illustrative examples.
  • The bipolar fuzzy dual graph is presented as a related structure with unique characteristics.

Conclusions:

  • Bipolar fuzzy outerplanar graphs possess distinct properties that enhance understanding within fuzzy graph theory.
  • The study demonstrates a novel application of these graphs for image shrinking.
  • The research provides a foundation for further exploration and utilization of bipolar fuzzy outerplanar graphs in diverse fields.