Certain Algorithms for Computing Strength of Competition in Bipolar Fuzzy Graphs

Fuzzy graph theory is one of the most developing area of research, which has a variety of applications in different fields, including computer science, communication networks, biological sciences, social networks, decision-making and optimization problems. A wide variety of human decision making is based on double-sided or bipolar judgmental thinking on a positive side and a negative side. In this research article, we present some interesting applications of bipolar fuzzy competition graphs in business marketing, social network and wireless communication network. We design and implement algorithms for computing the strength of competition in the bipolar fuzzy graphs. We also compute time complexity of each algorithm.