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theoretical system at the present time. We can define supply chain finance Operational
risk as followed: The risk which may cause potential loss because of errors or omis-
sions in Control, system and operational processes in all links of Supply chain opera-
tional processes and the external environment which member companies are situated.
Internal management of supply chain goes wrong, for example, compensation or dam-
ages must be made as failure to supply the contract on time; some people exploit the
flaw of legal instruments; insiders steal and outsider deceive; communications, power
failure because of electronic systems hardware and software breaking down; earth-
quakes, floods, fires, terrorist attacks and so on. All of these do harm to the supply
chain operations and are collectively referred as finance Operational risk.
We must correctly understand two points of the supply chain finance Operational
risk meaning. Firstly, Supply chain finance Operational risk does not exist in proc-
esses. According to the Definition, Finance Operational risk does not only include op-
erational errors, offense and ultra vires which are caused by personal factors, but also
the un-strict execution of the process. Secondly, all supply chain finance Operational
risk events aren't independent but interrelated. Many people regard
finance Opera-
tional risk as unexpected events. They think it can't meet Statistical distribution and
can't be measured by risk measurement methods.
2 Basic Principles and Steps of Fuzzy Comprehensive Evaluation
Fuzzy evaluation method was appeared in 1965, and made by the automatic control
L.A.Z experts Chad is proposed for the first time. It's a method from fuzzy mathemat-
ics and used in the quantification of some poorly circumscribed and not easily quanti-
fiable factors, then carry on composite evaluation. Therefore, it's one of the most
normal methods in fuzzy decision theory to solve the evaluation or evaluation prob-
lems which involve multivariate or multiple indicators. Moreover it's most major
characteristic may be that we could deal with the problems of complicated and fuzzy
in a much more relaxed way.
Assuming
is
n
kinds of indicators of the objects, and supposing
{
}
U
=
U
,
U
,
L
U
1
2
n
is the evaluation set which is made up of
m
kinds of indicators. These
are two classes of fuzzy sets, one is that
V
=
{
V
,
V
,
L
V
}
1
2
reflects weight of the Kth
K
=
(
K
,
K
,
L
K
)
1
2
judges in factor set U; the other is fuzzy relations of
U
×
that manifest as
the fuzzy
matrix
R
.we can carry fuzzy operation on the two classes of fuzzy sets and obtain
fuzzy set
V
in
V
. The fuzzy comprehensive evaluation can be expressed
L
B
=
(
b
,
b
,
b
)
1
2
as the following steps:
1) Constructing the factor set and evaluation set
Determining the factors set of
U
=
(
U
,
U
,
L
,
U
)
i
=
(
L
,
n
)
,
1
2
,
.
{
}
L
U
=
U
,
U
,
,
U
j
=
1
2
,
L
,
q
i
i
1
i
2
iq
V
Determining the evaluation set of
,
is assessment,
.
V
=
{
V
,
V
,
L
V
}
k
=
1
L
,
m
1
2
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