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Mining Maximal Cliques through an Intuitionistic Fuzzy Graph |
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PP: 1193-1198 |
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doi:10.18576/amis/110426
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Author(s) |
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S. Venkatesh,
S. Sujatha,
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Abstract |
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This paper deals with an inspiring and real-world problem of mining maximal cliques in an intuitionistic fuzzy graph G where the edges are weighted by the degrees of membership together with non-membership values. By using fuzzy cuts ( α , β ) such that 0 ≤ αβ ≤ 1, a modified concept of C αβ maximal clique is proposed in an intuitionistic fuzzy graph. To find C αβ maximal cliques in an intuitionistic fuzzy graph, we present an effective mining algorithm based on this C αβ is introduced. |
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