“…Using this approach several theorems about conditions on fuzzy pogroupoids being equivalent to conditions on these fuzzy posets and their underlying crisp posets are obtained. These conditions also lead to some polynomial invariants of finite pogroupoids, finite posets and accordingly finite Hasse diagrams in terms of their fuzzy substructures which thus provide additional perspectives on objects studied in a number of papers which have appeared in Information Sciences, e.g., [4,5,11].…”
“…Using this approach several theorems about conditions on fuzzy pogroupoids being equivalent to conditions on these fuzzy posets and their underlying crisp posets are obtained. These conditions also lead to some polynomial invariants of finite pogroupoids, finite posets and accordingly finite Hasse diagrams in terms of their fuzzy substructures which thus provide additional perspectives on objects studied in a number of papers which have appeared in Information Sciences, e.g., [4,5,11].…”
“…; n and the degree of membership of a weakest arc is defined as its strength. If u 0 ¼ u n and n P 3, then P is called a cycle and a cycle P is called a fuzzy cycle (f-cycle) if it contains more than one weakest arc [10]. The strength of connectedness between two nodes x and y is defined as the maximum of the strengths of all paths between x and y and is denoted by CONN G ðx; yÞ.…”
“…Many studies on fuzzy graphs are performed by Bhutani, Rosenfeld, Blue, Bush, Puckett, Mordeson, Nair, Peng, Jun, etc. (see [4][5][6], [12] and [14][15][16][17]). …”
On the basis of the concept of the interval valued intuitionistic fuzzy sets introduced by K. Atanassov, the notion of interval valued intuitionistic fuzzy graphs with respect to t -norm T and s -norm S are given. Their characteristic properties are described. Also it is shown how to associate interval valued intuitionistic fuzzy sub(semi)groups with interval valued intuitionistic fuzzy graphs in a natural way.
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