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Representation of Fuzzy Hypersoft Set in Graphs

Representation of fuzzy hypersoft set in graphs
descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2023Publisher:ZenodoFunded by:FCT | MS3
Authors: Saeed, Muhammad; Sarwar, Muhammad Amad; Rahman, Atiqe Ur; Maqbool, Sana Naz;

doi: 10.5281/zenodo.7751698 , 10.5281/zenodo.7751699

Representation of Fuzzy Hypersoft Set in Graphs

Abstract

In this study, a novel framework of fuzzy hypersoft graphs (FHS-graphs) is developed which is more flexible as compared to fuzzy soft graphs (FS-graphs) in the sense that it not only generalizes FS-graphs but also tackles its insufficiency for multi-argument approximate function. Some fundamentals, aggregation operations and results are investigated and elaborated with appropriate examples and their graphical depictions.

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Keywords

hypersoft set, hypersoft graph, Hypersoft Set, Fuzzy Soft Graph, fuzzy soft graph, Fractional graph theory, fuzzy graph theory, soft graph, Soft Set, Fuzzy Soft Set, fuzzy soft set, Hypersoft Graph, soft set, Soft Graph, Theory of fuzzy sets, etc.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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