Deleted Journal,
Journal Year:
2023,
Volume and Issue:
2(2), P. 65 - 108
Published: Dec. 30, 2023
This
work
aims
to
introduce
and
study
a
class
of
convex
functions
with
symmetric
points
associated
exponential
function.
The
problems
under
consideration
are
the
first
four
sharp
coefficient
bounds,
Fekete-Szegö
functional,
second
Hankel
determinant.
It
also
includes
similar
investigations
for
inverse
logarithmic
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(17), P. e36461 - e36461
Published: Aug. 23, 2024
The
important
feature
of
the
multi-attribute
decision-making
(MADM)
technique
is
to
identify
an
ideal
solution
and
aggregate
collective
cognitive
fuzzy
information
human
opinion.
To
serve
this
purpose,
we
explore
concepts
bipolar
complex
set
with
positive
negative
support
terms.
A
few
applications
Hamy
mean
(HM)
Dual
(DHM)
models
are
also
discussed
find
out
relationship
among
input
arguments
or
different
preferences.
For
this,
derive
a
family
mathematical
approaches
by
incorporating
theory
such
as
(BCFHM),
weighted
(BCFWHM),
(BCFDHM),
(BCFWDHM)
operators.
Derived
more
applicable
can
express
influence
uncertain
due
involvement
additional
parameter
values.
Based
on
diagnosed
research
work
methodologies,
establish
decision
algorithm
for
MADM
problem
resolve
real-life
dilemmas.
An
experimental
case
study
demonstrates
compatibility
derived
evaluates
investment
policy's
sustainability
based
certain
parameters.
advantages
consistency
proposed
verified
in
comparative
various
existing
aggregation
IEEE Access,
Journal Year:
2024,
Volume and Issue:
12, P. 55302 - 55325
Published: Jan. 1, 2024
Multi-Attribute
Decision
Making
(MADM)
is
a
powerful
tool
for
navigating
complex
decision
problems
by
systematically
considering
multiple
criteria
and
alternatives.
This
method
widely
used
in
various
fields
such
as
business,
engineering,
finance,
public
policy,
where
decisions
involve
conflicting
objectives.
An
interval-valued
intuitionistic
fuzzy
set
more
flexible
mathematical
model
to
aggregate
vague
type
redundant
information
into
single
set.
By
exploring
the
robustness
of
Aczel
Alsina
aggregation
operators,
we
deduce
an
effective
approach
handling
ambiguous
human
opinion.
To
express
relationship
among
input
arguments
or
attribute
information,
study
feasible
theory
Hamy
mean
(HM)
operators.
article
presents
some
dominant
approaches
light
(IVIF)
with
operations
including
IVIF
HM
(IVIFAAHM),
weighted
(IVIFAAWHM),
Dual
(IVIFAADHM)
(IVIFAAWDHM)
prove
validity
effectiveness
derived
approaches,
prominent
characteristics
are
also
illustrated.
A
algorithm
MADM
technique
established
resolve
complicated
real-life
applications
amplifications.
With
help
numerical
examples,
show
compatibility
diagnosed
approaches.
Finally,
influence
comparison
verify
consistency
pioneered
contrasting
aggregated
outcomes
previous
operators
that
exist
literature.
IEEE Access,
Journal Year:
2024,
Volume and Issue:
12, P. 65685 - 65705
Published: Jan. 1, 2024
The
assessment
of
performance
in
agricultural
education
practice
is
an
important
issue
because
it
concerns
the
quality
and
effectiveness
education.
This
evaluation
requires
effective
methods.
Interval-valued
intuitionistic
fuzzy
set
(IVIFS)
a
powerful
extension
sets
sets,
conceived
to
handle
uncertainty
vagueness
more
effectively
practice.
A
comprehensive
exploration
interval-valued
(IVIF)
information
offers
some
flexible
methods
for
article
identifies
relationship
among
input
arguments
with
help
Hamy
mean
aggregation
models.
In
order
avail
smooth
approximated
results
during
process,
prominent
operations
Aczel
Alsina
operators
are
also
adopted
light
IVIF
theory.
robustness
this
develop
family
new
mathematical
strategies
based
on
namely
(IVIFHM),
weighted
(IVIFWHM),
Dual
(IVIFDHM)
(IVIFWDHM)
operators.
Some
dominant
properties
diagnosed
discussed
show
their
validity
effectiveness.
Moreover,
decision
algorithm
multi-attribute
decision-making
(MAMD)
problem
reveal
versatility
adaptability
contexts.
To
showcase
practicability
derived
approaches,
case
study
illustrated.
advantages
supremacy
invented
research
work
verified
comparative
prevailing
that
exists
literature.
PLoS ONE,
Journal Year:
2024,
Volume and Issue:
19(8), P. e0307381 - e0307381
Published: Aug. 23, 2024
Big
data
pertains
to
extensive
and
intricate
compilations
of
information
that
necessitate
the
implementation
proficient
cost-effective
evaluation
analysis
tools
derive
insights
support
decision
making.
The
Fermatean
fuzzy
set
theory
possesses
remarkable
capability
in
capturing
imprecision
due
its
capacity
accommodate
complex
ambiguous
problem
descriptions.
This
paper
presents
study
concepts
dynamic
ordered
weighted
aggregation
operators
context
environment.
In
numerous
practical
making
scenarios,
term
"dynamic"
frequently
denotes
obtaining
decision-relevant
at
various
time
intervals.
this
study,
we
introduce
two
novel
operators:
averaging
geometric
operators.
We
investigate
attributes
these
detail,
offering
a
comprehensive
description
their
salient
features.
present
step-by-step
mathematical
algorithm
for
scenarios
proposed
methodologies.
addition,
highlight
significance
approaches
by
presenting
solution
determining
most
effective
big
analytics
platform
YouTube
analysis.
Finally,
perform
thorough
comparative
assess
effectiveness
suggested
comparison
variety
existing
techniques.
Journal of Decision Analytics and Intelligent Computing,
Journal Year:
2024,
Volume and Issue:
4(1), P. 241 - 252
Published: Dec. 21, 2024
In
this
article,
we
have
solved
an
initial
valued
second
order
linear
homogeneous
fuzzy
difference
equation
with
constant
coefficient
using
geometric
approach.
General
solution
structures
for
the
three
cases
are
established
depending
on
auxiliary
roots
of
corresponding
equation.
Finally,
taken
numerical
examples
and
them
theoretical
results
depicted
graphical
scenarios
to
realize
deviation
uncertain
from
exact
as
well
vagueness
values.
Deleted Journal,
Journal Year:
2023,
Volume and Issue:
2(2), P. 65 - 108
Published: Dec. 30, 2023
This
work
aims
to
introduce
and
study
a
class
of
convex
functions
with
symmetric
points
associated
exponential
function.
The
problems
under
consideration
are
the
first
four
sharp
coefficient
bounds,
Fekete-Szegö
functional,
second
Hankel
determinant.
It
also
includes
similar
investigations
for
inverse
logarithmic