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turnaround再也不愁论文中的英文怎么写了!!!英语学术论文常用句型

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2021-01-24 04:12
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2021年1月24日发(作者:万村千乡)

再也不愁论文中的英文怎么写了!!!英语学术论文常用句型



Beginning



1.
In
this
paper
。。


2.
This
paper
proceeds
as
follow.

3.
The
structure
of
the
paper
is
as
follows.

4.
In
this
paper,
we
shall
first
briefly
introduce
fuzzy
sets
and
related
concepts

5.
To
begin
with
we
will
provide
a
brief
background
on
the




Introduction



1.
This
will
be
followed
by
a
description
of
the
fuzzy
nature
of
the
problem
and

a
detailed
presentation
of
how
the
required
membership
functions
are
defined.

2.
Details
on
xx
and
xx
are
discussed
in
later
sections.

3.
In
the
next
section,
after
a
statement
of
the
basic
problem,
various
situations

involving
possibility
knowledge
are
investigated:
first,
an
entirely
possibility
model
is

proposed;
then
the
cases
of
a
fuzzy
service
time
with
stochastic
arrivals
and
non
f
uzzy
service
rule
is
studied;
lastly,
fuzzy
service
rule
are
considered.




Review



1.
This
review
is
followed
by
an
introduction.

2.
A
brief
summary
of
some
of
the
relevant
concepts
in
xxx
and
xxx
is
presente
d
in
Section
2.

3.
In
the
next
section,
a
brief
review
of
the ....
is
given.

4.
In
the
next
section,
a
short
review
of ...
is
given
with
special
regard
to ...

5.
Section
2
reviews
relevant
research
related
to
xx.

6.
Section
1.1
briefly
surveys
the
motivation
for
a
methodology
of
action,
while
1.2
looks
at
the
difficulties
posed
by
the
complexity
of
systems
and
outlines
the
ne
ed
for
development
of
possibility
methods.



Body



1.
Section
1
defines
the
notion
of
robustness,
and
argues
for
its
importance.

2.
Section
1
devoted
to
the
basic
aspects
of
the
FLC
decision
making
logic.

3.
Section
2
gives
the
background
of
the
problem
which
includes
xxx

4.
Section
2
discusses
some
problems
with
and
approaches
to,
natural
language
understanding.

5.
Section
2
explains
how
flexibility
which
often ...
can
be
expressed
in
terms
of

fuzzy
time
window

6.
Section
3
discusses
the
aspects
of
fuzzy
set
theory
that
are
used
in
the ...

7.
Section
3
describes
the
system
itself
in
a
general
way,
including
the
…..
and
also
discusses
how
to
evaluate
system
performance.

8.
Section
3
describes
a
new
measure
of
xx.

9.
Section
3
demonstrates
the
use
of
fuzzy
possibility
theory
in
the
analysis
of
x
x.

10.
Section
3
is
a
fine
description
of
fuzzy
formulation
of
human
decision.

11.
Section
3,
is
developed
to
the
modeling
and
processing
of
fuzzy
decision
rule
s

12.
The
main
idea
of
the
FLC
is
described
in
Section
3
while
Section
4
describes

the
xx
strategies.

13.
Section
3
and
4
show
experimental
studies
for
verifying
the
proposed
model.

14.
Section
4
discusses
a
previous
fuzzy
set
based
approach
to
cost
variance
inv
estigation.

15.
Section
4
gives
a
specific
example
of
xxx.

16.
Section
4
is
the
experimental
study
to
make
a
fuzzy
model
of
memory
proce
ss.

17.
Section
4
contains
a
discussion
of
the
implication
of
the
results
of
Section
2
and
3.

18.
Section
4
applies
this
fuzzy
measure
to
the
analysis
of
xx
and
illustrate
its
u
se
on
experimental
data.

19.
Section
5
presents
the
primary
results
of
the
paper:
a
fuzzy
set
model ..

20.
Section
5
contains
some
conclusions
plus
some
ideas
for
further
work.

21.
Section
6
illustrates
the
model
with
an
example.

22.
Various
ways
of
justification
and
the
reasons
for
their
choice
are
discussed
v
ery
briefly
in
Section
2.

23.
In
Section
2
are
presented
the
block
diagram
expression
of
a
whole
model
o
f
human
DM
system

24.
In
Section
2
we
shall
list
a
collection
of
basic
assumptions
which
a ...
schem
e
must
satisfy.

25.
In
Section
2
of
this
paper,
we
present
representation
and
uniqueness
theore
ms
for
the
fundamental
measurement
of
fuzziness
when
the
domain
of
discourse
is
order
dense.

26.
In
Section
3,
we
describe
the
preliminary
results
of
an
empirical
study
curre
ntly
in
progress
to
verify
the
measurement
model
and
to
construct
membership
func
tions.

27.
In
Section
5
is
analyzed
the
inference
process
through
the
two
kinds
of
infer
ence
experiments...

This
Section

1.
In
this
section,
the
characteristics
and
environment
under
which
MRP
is
desig
ned
are
described.

2.
We
will
provide
in
this
section
basic
terminologies
and
notations
which
are
ne
cessary
for
the
understanding
of
subsequent

Section

2.
The
next
section
describes
the
mathematics
that
goes
into
the
computer
impl
ementation
of
such
fuzzy
logic
statements.

3.
However,
it
is
cumbersome
for
this
purpose
and
in
practical
applications
the
f
ormulae
were
rearranged
and
simplified
as
discussed
in
the
next
section.

4.
The
three
components
will
be
described
in
the
next
two
section,
and
an
exa
mple
of
xx
analysis
of
a
computer
information
system
will
then
illustrate
their
use.

5.
We
can
interpret
the
results
of
Experiments
I
and
II
as
in
the
following
secti
ons.

6.
The
next
section
summarizes
the
method
in
a
from
that
is
useful
for
argumen
ts
based
on
xx



Summary



1.
This
paper
concludes
with
a
discussion
of
future
research
consideration
in
sect
ion
5.

2.
Section
5
summarizes
the
results
of
this
investigation.

3.
Section
5
gives
the
conclusions
and
future
directions
of
research.

4.
Section
7
provides
a
summary
and
a
discussion
of
some
extensions
of
the
pa
per.

5.
Finally,
conclusions
and
future
work
are
summarized

6.
The
basic
questions
posed
above
are
then
discussed
and
conclusions
are
draw
n.

7.
Section
7
is
the
conclusion
of
the
paper.



Chapter
0.
Abstract



1.
A
basic
problem
in
the
design
of
xx
is
presented
by
the
choice
of
a
xx
rate
f
or
the
measurement
of
experimental
variables.

2.
This
paper
examines
a
new
measure
of
xx
in
xx
based
on
fuzzy
mathematics

which
overcomes
the
difficulties
found
in
other
xx
measures.

3.
This
paper
describes
a
system
for
the
analysis
of
the
xx.

4.
The
method
involves
the
construction
of
xx
from
fuzzy
relations.

5.
The
procedure
is
useful
in
analyzing
how
groups
reach
a
decision.

6.
The
technique
used
is
to
employ
a
newly
developed
and
versatile
xx
algorith
m.

7.
The
usefulness
of
xx
is
also
considered.

8.
A
brief
methodology
used
in
xx
is
discussed.

9.
The
analysis
is
useful
in
xx
and
xx
problem.

10.
A
model
is
developed
for
a
xx
analysis
using
fuzzy
matrices.

11.
Algorithms
to
combine
these
estimates
and
produce
a
xx
are
presented
and
justified.

12.
The
use
of
the
method
is
discussed
and
an
example
is
given.

13.
Results
of
an
experimental
applications
of
this
xx
analysis
procedure
are
give
n
to
illustrate
the
proposed
technique.

14.
This
paper
analyses
problems
in

15.
This
paper
outlines
the
functions
carried
out
by ...

16.
This
paper
includes
an
illustration
of
the ...

17.
This
paper
provides
an
overview
and
information
useful
for
approaching

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