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Neutrosophic Sets and Systems
Article . 2023
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Possibility Neutrosophic Hypersoft Set (PNHSS)

Authors: Sumyyah Al-Hijjawi; Shawkat Alkhazaleh;

Possibility Neutrosophic Hypersoft Set (PNHSS)

Abstract

Soft set developed by Smarandache in 2018 to Hypersoft set (HSS) to deal with multiargument approximate functions. The soft set cannot deal with cases when attributes are required to be further divided into disjoint attribute-valued sets. Neutrosophic Hypersoft Set (NHSS) is the most effective and useful method to handle the environment which involved more than one attribute. Neutrosophic Hypersoft Set introduced by combining Hypersoft Set and Neutrosophic Soft Set. In this paper, we first define the concept of Possibility Neutrosophic Hypersoft Set (PNHSS in short) which is combination of PNSS and HSS. Certain essential basic characteristics as subset, equal and complement are studied with illustrative examples. Basic operations such as: union, intersection and some properties such as commutative, associative, distributive low and De Morgan’s low are discussing. Also, we introduce AND and OR operation of PNHSS with suitable examples and some propositions.

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Keywords

hypersoft set, possibility neutrosophic hybersoft set, neutrosophic hypersoft set, Electronic computers. Computer science, Soft Set, Neutrosophic Soft Set, Hypersoft Set, Neutrosophic Hypersoft Set, Possibility Neutrosophic Set and Possibility Neutrosophic Hybersoft Set, QA1-939, soft set, QA75.5-76.95, Mathematics, neutrosophic soft set, possibility neutrosophic set

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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.
BIP!Impulse provided by BIP!
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