Granulation of Hypernetwork Models under the q-Rung Picture Fuzzy Environment

In this paper, we define q-rung picture fuzzy hypergraphs and illustrate the formation of granular structures using q-rung picture fuzzy hypergraphs and level hypergraphs.Further, we define the q-rung picture fuzzy equivalence relation and q-rung picture fuzzy hierarchical quotient GUM WINTERGREEN space structures.In particular, a q-rung picture fuzzy hypergraph and hypergraph combine a set of granules, and a hierarchical structure is formed corresponding to the series of hypergraphs.The mappings between the q-rung picture fuzzy hypergraphs depict the relationships among granules occurring at different levels.The consequences reveal that the representation of the partition of the universal set is more efficient through q-rung picture Laundry Centre fuzzy hypergraphs and the q-rung picture fuzzy equivalence relation.

We also present an arithmetic example and comparison analysis to signify the superiority and validity of our proposed model.

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