Explore: Fuzzy Graphs

to fuzzy mathematics, such as fuzzy field theory and fuzzy Galois theory, fuzzy topology, fuzzy geometry, fuzzy orderings, and fuzzy graphs. Fuzzy measure

knowledge graph is a knowledge base that uses a graph-structured data model or topology to represent and operate on data. Knowledge graphs are often used

fuzzy rule models. He then extended those models beyond classification and invented algorithms to extract regression models, so-called fuzzy graphs from

al. (eds.), Conceptual graphs for knowledge representation. Berlin: Springer, 1993. Tru Hoang Cao, Conceptual graphs and fuzzy logic. Berlin: Springer

Visibility graphs of simple polygons must be Hamiltonian graphs: the boundary of the polygon forms a Hamiltonian cycle in the visibility graph. It is known

Graph neural networks (GNN) are specialized artificial neural networks that are designed for tasks whose inputs are graphs. One prominent example is molecular

multi-platform software that implements visibility graphs is topologicpy [1] developed by Wassim Jabi. Fuzzy architectural spatial analysis Isovist Spatial

complete graph K4 (such a characterisation is known for K4-free planar graphs) Classify graphs with representation number 3, that is, graphs that can

given fuzzy sets and corresponding membership degrees. It is the process that maps a fuzzy set to a crisp set. It is typically needed in fuzzy control

{\displaystyle \operatorname {ch} '(G)=\chi '(G).} This conjecture has a fuzzy origin; Jensen & Toft (1995) overview its history. The Dinitz conjecture