Authors :
R K Saini; Ashik Ahirwar; Mukesh Kushwaha; Seema Singh
Volume/Issue :
Volume 8 - 2023, Issue 10 - October
Google Scholar :
https://tinyurl.com/msjaz5mx
Scribd :
https://tinyurl.com/5yn8tnv4
DOI :
https://doi.org/10.5281/zenodo.10158380
Abstract :
By extending the idea of the cubic set, this
research study introduces a challenge associated with
Neutrosophic Cubic Sets (NCS). We investigate both the
ENCS (External Neutrosophic Cubic Set) and INCS
(Internal Neutrosophic Cubic Set) properties. Our
objective is to show that these sets may successfully deal
with problems involving uncertainties. To do this, we
suggest a decision-making method that can be adjusted
using NCS and a similarity measure. To demonstrate
how our strategy works in practice, we offer an example
situation. The suggested methodology is specifically
made to handle uncertain and ambiguous knowledge
that is a common problem in many different real-world
scenarios. It uses Neutrosophic cubic sets to describe the
levels of informational accuracy, falsehood, and
uncertainty. To estimate the similarities between
Neutrosophic cubic sets, similarity metrics are also used.
This method is used in the context of image segmentation
to separate a picture into distinct sections based on its
texture features. We show the usefulness of our
suggested technique in managing unclear and ambiguous
information by the outcomes of our experiments. A
technique with use a different method in simulation of
decision-making that entail uncertainty and ambiguity.
Keywords :
Cubic Set Neutrosophic Cubic Set Internal Neutrosophic Cubic Set External Neutrosophic Cubic Set Decision Making.
By extending the idea of the cubic set, this
research study introduces a challenge associated with
Neutrosophic Cubic Sets (NCS). We investigate both the
ENCS (External Neutrosophic Cubic Set) and INCS
(Internal Neutrosophic Cubic Set) properties. Our
objective is to show that these sets may successfully deal
with problems involving uncertainties. To do this, we
suggest a decision-making method that can be adjusted
using NCS and a similarity measure. To demonstrate
how our strategy works in practice, we offer an example
situation. The suggested methodology is specifically
made to handle uncertain and ambiguous knowledge
that is a common problem in many different real-world
scenarios. It uses Neutrosophic cubic sets to describe the
levels of informational accuracy, falsehood, and
uncertainty. To estimate the similarities between
Neutrosophic cubic sets, similarity metrics are also used.
This method is used in the context of image segmentation
to separate a picture into distinct sections based on its
texture features. We show the usefulness of our
suggested technique in managing unclear and ambiguous
information by the outcomes of our experiments. A
technique with use a different method in simulation of
decision-making that entail uncertainty and ambiguity.
Keywords :
Cubic Set Neutrosophic Cubic Set Internal Neutrosophic Cubic Set External Neutrosophic Cubic Set Decision Making.
