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我们提出了一种新的不完全的增加结构算法,该算法结合了非循环确定模糊自动机的性质。由于该算法与隶属度有关,因此算法给出了与传统方法不同的运算函数,而且通过构造模拟状态使该算法可在有多输入状态的条件下运行。所以这个新的不完全增加结构算法较传统算法更可行和实用。新算法由两部分构成:增加模糊字符串到最小非循环确定模糊自动机和最小化增加模糊字符串后得到的自动机。因为在增加模糊字符串到最小非循环确定模糊自动机的过程中,运用了一些相关的新函数,所以得到的自动机仍然是确定的,而且没有增加任何无关的字符串到自动机的可识别语
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CHINESE
JOURNAL
Aug.
2006
OF
ENGINEERING
MATHEMATICS
Vo!.
23
No.
4
Article
ID:
1005-3085(2006)04-0599-ω
Incremental
Construction
of
Minimal
Acyclic
Deterministic
Fu
zzy
Finite
Automaton
HU
Hong-li,
MO
Zhi-wen
(College ofMathematics and Software Science
, Sichuan Normal University,
Che
吨
du
610066)
Abstract:
We
presented a new semi-incremental algorithm, which combines with properties of acyclic
deterministic fuzzy automata. Because the algorithm is related with fuzzy membership
,
we
present some novel functions which make the new algorithm
different
仕
om
general
algorithm.
It
can be applied to multi-incoming (transitions) states by applying build-
imitate state. So the new semi-incremental algorithm
is
more useful and practical. The new
algorithm
is
composed of two parts: adding fuzzy strings to minimal acydic deterministic
fuzzy finite
state
automata (ADFFAs) and minimizing the resulting automata. Because
some novel functions are applied in the algorithm
for
adding fuzzy stings
to
ADFFAs. The
resulting automaton of the algorithm
is
still deterministic and
is
not added more
than
one
fuzzy string to automaton.
Keywords:
acyclic deterministic fuzzy finite automaton; fuzzy strings; semi-incremental algorithm;
build-imitate state; unnecessary-membership
state
Classification:
AMS(2000) 68Q19
CLC
number:
T312
Document
code:
A
1
Introduction
Fu
zzy
set
theory
has
received considerable
attention
since
its
inception[1,
2j.
A
wide
飞
rariety
of
tools
have
been
developed
basing
on
the
notion
of
fuzzy
membership
function.
for
example
,
there
has
been
an
increased
interest
in
combing fuzzy
systems
with
finite
automata.
The
notion
of
fuzzy
automata
was
introduced
by
Lee
and
Wee[3,
4j.
80me
basic
properties
of
fuzzy
automata
can
be
found
in
[5
,
6
,可.
As a design
tool
,
the
fuzzy
automata
should
be
best
, if
it
is
minima
l.
In
this
p
也.p
er
,
we
present
two
algorithms
for
adding
fuzzy
strings
to
acyclic
deterministic
fuzzy finite
automata
(ADFFAs)
and
minimizing
the
resulting
automata
,
semi-incremental
techniques
,町咆
used
to
constrict
minimal
ADFFAs.
The
semi-incremental
algorithm
is used
in
minimal
condition
, so
it
is
named
semi-incrementa
l.
This
was applied
in
some
papers[8,
9j
,
but
these
papers
only considered
the
general
automata.
In
this
paper
,
in
order
to
constricting
minimal
acyclic
deterministic
fuzzy finite
state
automata
, we would combine
the
general
semi-incremental techniques
with
fuzzy
nature.
Previous
work
on
the
semi-incremental
algorithm
is
not
applicable
to
the
multi-incoming
(transitions)
stat
臼
(in
some
pap
町
they
are
named
confuse states)[lO-13j. Nevertheless,
the
multi-incoming
(transitions)
states
usually exist, especially
in
minimal
automata.
The
new
semi-incremental
algorithm
given
in
this
paper
can
be
applied
to
multi-incoming
(transitions)
states.
80
the
new
algorithm
is
more
general
and
easier
to
implement.
Received date:
200
4-0
4-
12.
Biography:
Hu
Hongli
(Born
in
197η
,民
male
,
Master.
Re
search
field:
fuzzy
theory,
rou
也
h
theory and
finite
automaton.
600
CHINESE
JOURNAL
OF
ENGINEERING
MATHEMATICS
VOL.23
The
rest
of
the
paper
is
organized as follows. Some necessary
mathematical
preliminaries are
given in
the
section
2.
a new algorithm for adding fuzzy strings
to
minimal acyclic deterministic
fuzzy finite
automata
(ADFFAs) is proposed
in
the
section
3.
It
is described in detail
in
section 4
how
to
minimize
the
resulting
automata
(ADFFAs) from
the
algorithm for adding fuzzy strings
to
ADFFAs.
An
example of adding fuzzy strings
and
minimizing
the
resulting
automata
is
explained in
detail
in
the
section
5.
Some remarks
are
finally given
in
section 6.
2
Mathematical
Preliminaries
In
this
article,
we
consider ADFFAs.
The
algorithm of
this
paper
is readily
extended
to
acyclic nondeterministic fuzzy finite
automata.
The
nondeterministic fuzzy finite
automata
are
more useful
than
the
deterministic fuzzy
automata
in
practice.
But
the
extension is
not
considered in
this
paper. We begin
by
defining
the
deterministic fuzzy
automata.
Definition
2.1
A deterministic fuzzy finite
state
automata
(DFFAS) is a
6-t
叩
le
DFFA=
(Q
,
~,
8
,
μ
,
qo
,
F), where Q is a
缸
lite
set
of
states
,
~
is a
缸lÏ
te
set
of
symbols called
the
alphabet
,
qo
ε
Q
is
the
initial
state
, F ç Q is a
set
of
final
states
,
8:
Q x
~→
Q
is
the
state
transition
function
,
μ
:Qx~
→
[0
,
1]
is
the
fuzzy
transition
function,
and
the
following conditions
are
satisfied:
1)
for all
q
ε
Q
,
for all
a
ξ~
,
if
there
exists
p ε
Q
such
that
8(q,
a)
= p ,
then
μ
(q
,
a)
> 0,
2) for all q E Q, for all
αε~
,
if
there
isμ
(q
,
α)
> 0,
then
there
exists
p ε
Q
such
that
8(q
,
α
)
=p
,
The
extended
function
8*
: Q x
~*→
Q
is
defined as follows:
(6(qε)
=
q
εis
em
…
u
山
g
8*(q
,
α
x)
= 8*(8(q, a),
x)
, for all
αε~
and
x E
~*.
The
extended function
p,*
: Q x
~*→
[0
,
1]
is defined as follows:
(μ
(q
ε)
=
1ε
叫
y
叫"
μ
*(q
,
α
x)
=
μ
(q
,
a
冲
α
叫
)^μ*
气
(θ
8(q
,
a
冲
α
叫)
,
x)
, for all αε~
and
x
ε~*.
In
this
article, we consider a fuzzy
automaton
without
output
,
and
moreover
the
initial
state
qo
and
the
set
of
final
states
F
are
not
fuzzy. Any fuzzy
automaton
as
described in Definition
2.1 is equivalent
to
a fuzzy automaton[3l.
Definition
2.2
A deterministic fuzzy finite
state
automata
(DFFA ) is a acyclic deter-
ministic fuzzy
automaton
(ADFFA
),
if for all
αε~
and
q
ε
Q
,
8(q
,
a)
=
α.
Definition
2.3
Given a
ADFFA=(Q
,~,
8
,
μ
,酌,
F),
the
fuzzy language accepted
or
rec-
ognized
by
ADFFA is denoted by L (ADFFA ) (we call
it
recognized by ADFFA ). L (ADFFA
)={(ω
,也
)1ωε2
飞
8*(qo
,
ω)ε
F
and
μ
气
qo
,
ω
)=u
笋
O}
Definition
2
.4
A
ADFFA=(Q
,
旦,
8
,
μ
,
qo
,
F) is a complete ADFFA, if 8
and
μare
total
transition
functions.
Theorem
2.1
For a
ADFFA=(Q
,~,
8
,
μ
,酌
,
F)
,
there
exists a complete ADFFA*=(Q u
土,~,
8
,
μ
,酌
,
F)
,
where
...L
is
an
absorption
state
, such
that:
L(ADFFA
)=L
(ADFFA*)
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