2021
DOI: 10.1155/2021/6121454
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Novel Concepts of Domination in Vague Graphs with Application in Medicine

Abstract: VG can manage the uncertainty relevant to the inconsistent and indeterminate information of all real-world problems, in which FGs possibly will not succeed in bringing about satisfactory results. The previous definitions’ restrictions in FGs have made us present new definitions in VGs. A wide range of applications have been attributed to the domination in graph theory for several fields such as facility location problem, school bus routing, modeling biological networks, and coding theory. Therefore, in this re… Show more

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Cited by 13 publications
(8 citation statements)
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“…The concept of domination in rough fuzzy digraphs was described by [42]. Similarly, domination in several types of vague graphs was discussed in [43][44][45][46]. Domination in IFGs was discussed by Parvathi [47], while double domination in IFGs was described by Nagoorgani [48].…”
Section: Introductionmentioning
confidence: 99%
“…The concept of domination in rough fuzzy digraphs was described by [42]. Similarly, domination in several types of vague graphs was discussed in [43][44][45][46]. Domination in IFGs was discussed by Parvathi [47], while double domination in IFGs was described by Nagoorgani [48].…”
Section: Introductionmentioning
confidence: 99%
“…The notion of a VG is a new mathematical attitude to model the ambiguity and uncertainty in decision-making issues. Study on VG and results from these graphs were introduced by Kosari et al [7][8][9][10]. Furthermore, a review was carried out on different types of FGs, and the new results were studied [11][12][13].…”
Section: Introductionmentioning
confidence: 99%
“…Dey et al [19][20][21] introduced the fuzzy minimum spanning tree with an interval type 2 fuzzy arc length and an interval type 2 FS in a fuzzy shortest path problem. Qiang et al [22] expressed a novel description of VG structure and also investigated the new results of it. Some types of FGs were studied in [23,24].…”
Section: Introductionmentioning
confidence: 99%