Results 21 to 30 of about 394 (166)

N-bipolar hypersoft sets: Enhancing decision-making algorithms. [PDF]

open access: yesPLoS One
This paper introduces N-bipolar hypersoft (N-BHS) sets, a versatile extension of bipolar hypersoft (BHS) sets designed to effectively manage evaluations encompassing both binary and non-binary data, thereby exhibiting heightened versatility. The major contributions of this framework are twofold: Firstly, the N-BHS set introduces a parameterized ...
Musa SY.
europepmc   +5 more sources

An Intelligent Multiattribute Decision-Support Framework Based on Parameterization of Neutrosophic Hypersoft Set. [PDF]

open access: yesComput Intell Neurosci, 2022
Hypersoft set is a novel area of interest which is able to tackle the real‐world scenarios where classification of parameters into their respective sub‐parametric values in the form of overlapping sets is mandatory. It employs a new approximate mapping which considers such sets in the form of sub‐parametric tuples as its domain.
Rahman AU   +3 more
europepmc   +2 more sources

Hypersoft Topological Spaces [PDF]

open access: yesNeutrosophic Sets and Systems, 2022
Smarandache [48] introduced the concept of hypersoft set which is a generalization of soft set. This notion is more adaptable than soft set and more suited to challenges involving decision-making.
Sagvan Y. Musa, Baravan A. Asaad
doaj   +1 more source

Neutrosophic Hypersoft Topological Spaces [PDF]

open access: yesNeutrosophic Sets and Systems, 2021
Hypersoft sets have gained more importance as a generalization of soft sets and have been investigated for possible extensions in many fields of mathematics.
D. Ajay, J. Joseline Charisma
doaj   +1 more source

Mappings on Bipolar Hypersoft Classes [PDF]

open access: yesNeutrosophic Sets and Systems, 2023
Mappings are significant mathematical tools with many applications in our daily lives. The bipolar hypersoft set is one of the effective tools for dealing with ambiguity and vagueness. The purpose of this article is to define mappings between the classes
Sagvan Y. Musa, Baravan A. Asaad
doaj   +1 more source

A Novel Approach to Neutrosophic Hypersoft Graphs with Properties [PDF]

open access: yesNeutrosophic Sets and Systems, 2021
Neutrosophic hypersoft set is the combination of neutrosophic set and hypersoft set. It resolves the limitations of intuitionistic fuzzy sets and soft sets for the consideration of the degree of indeterminacy and multi-argument approximate function ...
Muhammad Saeed   +3 more
doaj   +1 more source

Introduction to Plithogenic Hypersoft Subgroup [PDF]

open access: yesNeutrosophic Sets and Systems, 2020
In this article, some essential aspects of plithogenic hypersoft algebraic structures have been analyzed. Here the notions of plithogenic hypersoft subgroups i.e. plithogenic fuzzy hypersoft subgroup, plithogenic intuitionistic fuzzy hypersoft subgroup,
Sudipta Gayen   +5 more
doaj   +1 more source

On Some Properties of Plithogenic Neutrosophic Hypersoft Almost Topological Group [PDF]

open access: yesNeutrosophic Sets and Systems, 2021
The main objective of this study is to introduce the notion of plithogenic neutrosophic hypersoft almost topological group. We have defined some new concepts and investigated properties of regularly open set and regularly closed set and then we observed ...
Bhimraj Basumatary   +3 more
doaj   +1 more source

Theory of Hypersoft Sets: Axiomatic Properties, Aggregation Operations, Relations, Functions and Matrices [PDF]

open access: yesNeutrosophic Sets and Systems, 2022
There are several decision-making based situations in which it is necessary to categorize the evaluating parameters into their respective sub-parametric values based non-overlapping sets. The existing soft set model is not compatible with such situations
Muhammad Saeed   +3 more
doaj   +1 more source

A theoretical context for (θ,β)-convexity and (θ,β)-concavity with hypersoft settings [PDF]

open access: yesBig Data and Computing Visions, 2023
Sub-attribute-valued sets are occasionally viewed as more significant in real-life circumstances than a single set of attributes. The current models that deal with ambiguity and uncertainty, or soft sets, are insufficient to address such situations.
Atiqe Ur Rahman
doaj   +1 more source

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