New Applications of m-Polar Fuzzy Competition Graphs

An m-polar fuzzy model is a generalization of the fuzzy model. This model is useful for multi-polar information, multi-agent, multi-attribute and multi-object network models. In this research paper, we first introduce certain new concepts, including m-polar fuzzy digraphs, m-polar fuzzy-out neighborhood, m-polar fuzzy-in neighborhood, m-polar fuzzy competition graphs and m-polar fuzzy k-competition graphs. Moreover, we describe the construction of m-polar fuzzy competition graphs of certain products of m-polar fuzzy digraphs from their respective m-polar fuzzy competition graphs. We present some applications of m-polar fuzzy competition graphs in food webs. Finally, we present certain algorithms for computing strength of competition between species.

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