2020
DOI: 10.3390/mca25010008
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Spherical Fuzzy Graphs with Application to Decision-Making

Abstract: In a network model, the evaluation information given by decision makers are occasionally of types: yes, abstain, no, and refusal. To deal with such problems, we use mathematical models based on picture fuzzy sets. The spherical fuzzy model is more versatile than the picture fuzzy model as it broadens the space of uncertain and vague information, due to its outstanding feature of vast space of participation of acceptable triplets. Graphs are a mathematical representation of networks. Thus to deal with many real… Show more

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Cited by 22 publications
(13 citation statements)
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“…Definition 2.1. [1] Let V be the non-empty set possess spherical fuzzy graph SFG is G = (P, Q), here P and Q are spherical fuzzy set and spherical fuzzy relation on V in such…”
Section: Preliminariesmentioning
confidence: 99%
See 1 more Smart Citation
“…Definition 2.1. [1] Let V be the non-empty set possess spherical fuzzy graph SFG is G = (P, Q), here P and Q are spherical fuzzy set and spherical fuzzy relation on V in such…”
Section: Preliminariesmentioning
confidence: 99%
“…Pythagorean fuzzy graphs generalized out of intuitionistic fuzzy graph [6] and the spherical fuzzy graph acquainted by Akram et. al., [1]. In this paper, spherical fuzzy subgraph, complete spherical fuzzy graph, minimum and maximum degrees of spherical fuzzy graphs are demonstrated.…”
Section: Introductionmentioning
confidence: 96%
“…Size and order analogous to crisp graphs in FGs were examined by Gani and Ahamed [25]. Akram et al [5] discussed spherical FGs with application to decision-making. Al-Hawary [7] proposed the notion of complete FG.…”
Section: Introductionmentioning
confidence: 99%
“…Kahraman et al [9] applied the spherical fuzzy TOPSIS method to find the solution of a problem which is related to the selection of hospital location. Akram et al [10] studied the notion of SFS by providing the solution of a DM problem and Akram [11] presented a DM method based on spherical fuzzy graphs.…”
Section: Introductionmentioning
confidence: 99%