2006
DOI: 10.1155/ijmms/2006/43614
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Vertex‐strength of fuzzy graphs

Abstract: The fuzzy coloring of a fuzzy graph was defined by the authors in Eslahchi and Onagh (2004). In this paper we define the chromatic fuzzy sum and strength of fuzzy graph. Some properties of these concepts are studied. It is shown that there exists an upper (a lower) bound for the chromatic fuzzy sum of a fuzzy graph.

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Cited by 60 publications
(27 citation statements)
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“…The following basic definitions are taken from [1,3,[7][8][9][10][11][12]. A fuzzy graph G = (σ, µ) is a pair of functions D(x, y) = n − 1 andx − y.…”
Section: Preliminary Definitionsmentioning
confidence: 99%
“…The following basic definitions are taken from [1,3,[7][8][9][10][11][12]. A fuzzy graph G = (σ, µ) is a pair of functions D(x, y) = n − 1 andx − y.…”
Section: Preliminary Definitionsmentioning
confidence: 99%
“…The definition is given below. For the fuzzy graph ξ = (V, σ, µ), an edge (x, y) is called strong [9] If an edge (x, y) of a fuzzy graph satisfies the condition µ(x, y) = min{σ(x), σ(y)}, then this edge is called effective edge [21]. Two vertices are said to be effective adjacent if they are the end vertices of the same effective edge.…”
Section: Preliminariesmentioning
confidence: 99%
“…Churn prediction is currently a relevant subject in data mining and has been applied in the field of banking [14], mobile telecommunication [5,12], life-insurances [13], and others to find the prediction of persons who are going to leave the system. …”
Section: Preliminariesmentioning
confidence: 99%