Civil Engineering Reference
In-Depth Information
Tabl e 2
Illustrates the weight for four intelligent capital factors
Supply: Weight
Demand: Weight
S
1
.Natural Environment,
0.50
D
1
.Trafic and Live
0.16
S
2
.Culture and Humanity
0.23
D
2
Living and Facility
0.52
S
3
.Green Assessment
0.27
D
3
Entertainment
0.32
Tabl e 3
The CE, PE as well, and the common agreement of the evaluate value
Chiangmai
Bali Island
Hangzhou
Chiju
Sappolo
Melben
IS
3.435
3.508
3.466
3.596
3.661
3.593
ID
3.240
3.080
3.040
3.192
3.112
3.164
ILC
3.27157
3.31142
3.30104
3.27691
3.32410
3.39211
Tabl e 4
The membership (degree) for leisure city for three levels
Chiangmai
Bali Island
Hangzhou
Chiju
Sappolo
Melben
S
1
.Natural Environment,
1.85
2
1.9
2.2
2.35
2.15
S
2
.Culture and Humanity
0.667
0.644
0.621
0.667
0.69
0.552
S
3
.Green Assessment
0.918
0.864
0.945
0.729
0.621
0.891
D
1
.Trafic and Live
0.56
0.72
0.72
0.608
0.608
0.496
D
2
Living and Facility
1.56
1.56
1.456
1.56
1.352
1.196
D
3
Entertainment
1.12
0.8
0.864
1.024
1.152
1.472
information and find the ILC from both sides of ID and IS. In order to find weights
of factors, firstly, we interviewed ten independent appraisers, to rate the weight of
factors.
I=index of importance (from 1=very unimportant to 5=very important)
.
Tab le
2
illustrates the weight for four intelligent capital factors.
From Table
3
example showing the highest score is
Melben
ILC. Its followed
by the score of
Sappolo
. There's order row down the
Bali Island, Hangzhou, Chiju,
and
Chiangmai
. Since traditional computing methods are based on the operation of
real value system, it is difficult to get a decision rule or find a comment agreement
from two sides. In this case, peacemaking is reached due to the IPR violators
individual choice - his concern for reputation and career. If not for this, an IPR case
that requires juridical prosecution to rule out responsibilities will be on process.
Whether or not the compensation, which is determined by the court, is reasonable
is still open to discussion. Since a precise (real-valued) evaluating process often
reflects the drawbacks of incomplete and uncertainty properties in the real case, it
is traditional scale or questionnaires. If we apply the fuzzy data with the techniques
of soft computing it will be a more appropriate way to overcome those problems.
Reviewing the result with fuzzy mode and fuzzy median representation, see Table
4
,
an innovative improvement in evaluation performance can be found.
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