Abstract
Graph theory provides a framework for clearly representing relationships between objects [1,2]. In the fields of
chemistry and biology, graph-based concepts are widely applied. Hypergraphs generalize classical graphs by
allowing hyperedges to connect any nonempty subset of vertices [3]. Superhypergraphs extend this concept by
iterating the powerset operation, thereby generating nested layers that capture hierarchical and self-referential
structures among collections of vertices [4]. A molecular graph models a molecule with atoms as vertices
and bonds as edges, representing its structural connectivity. Fuzzy graphs and fuzzy hypergraphs enrich
these structures by assigning membership degrees to vertices and (hyper)edges. In this paper, we introduce
definitions of molecular fuzzy graphs, hypergraphs, and superhypergraphs, and examine their properties and
potential applications.



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