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SSRN Electronic Journal
Article . 2024 . Peer-reviewed
Data sources: Crossref
https://doi.org/10.4018/979-8-...
Part of book or chapter of book . 2024 . Peer-reviewed
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Preprint . 2023
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Development of Some New Hybrid Structures of Hypersoft Set with Possibility-degree Settings

Authors: Atiqe Ur Rahman; Florentin Smarandache; Muhammad Saeed; Khuram Ali Khan;

Development of Some New Hybrid Structures of Hypersoft Set with Possibility-degree Settings

Abstract

The concept of a hypersoft membership function is introduced in the extension of a soft set known as a hypersoft set, permitting it to handle complicated and uncertain information in a more powerful and flexible manner. Many academics have already become fascinated with this new area of study, leading to the development of a number of hybrid structures. This chapter develops some new hybrid hypersoft set structures by taking into account multiple fuzzy set-like settings and possibility degree-based settings collectively. Additionally, numerical examples are included to clarify the concept of these structures. Researchers can utilize this work to better understand and apply a variety of mathematical ideas.

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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