Analyzing the impact of social factors on homelessness: a Fuzzy Cognitive Map approach
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Abstract Fuzzy graphs were introduced by Rosenfeld in Fuzzy graph theory has numerous applications in modern science and technology, especially in the fields of information theory, neural networks, expert systems, cluster analysis, medical diagnosis, control theory etc. In this paper, we deal with coloring of the edge connectivity of a fuzzy graph to obtain the better result in diagnosis of cancer cells. The fuzzy graph approach is more powerful in cluster analysis than the usual graph-theoretic approach due to its ability to handle the strengths of edges effectively.