because of fresh
websites led by
the area, which
quick response
their technical
VALUATION
among so many
t basic selection
1e characters of
ata;
ion;
he following 10
s the evaluation
in this paper.
ss
le.com/
com/
'ar.com/
ibc.com/
acm. |
.com/
itu.com/
om/
.com/
m/ditu/
jsites
index system
atically so as to
ding factors with
ry factors should
be ignored properly. A tri-grade evaluation index
system was established to assign value and compute.
The first-grade indexes contained four aspects as
followed: map data, interface interaction, response
and influence, also every index could be refined in
Table 2.
1* -grade index &
weight weight
2nd -grade index & excellent | good | middle | Qualified Unqualified
Accuracy (0.25)
Authority (0.20)
Map data (0.30) | variety (0.15)
integrity (0.10)
date (0.30)
color (0.15)
interface design
(0.15)
Function and function rich (0.20)
interaction Function accessibility
(0.20) (0.20)
Friendly
interaction(0.30)
load (0.20)
Response (0.30) tile load (0.40)
search (0.40)
page view (0.30)
Influence (0.20) average time on site
(0.20)
Cite (0.30)
API (0.20)
Table 2. Comprehensive evaluation index system
32 The mathematical model of fuzzy
comprehensive evaluation
Fuzzy Comprehensive evaluation method is a good
Way to solve the problem of which evaluating indexes
are difficult to quantify and evaluating factors bear the
fuzzy quality. For some simple issues, a reasonable
result can be got with the first-grade comprehensive
evaluation. But many more factors must be considered
in some complicated issues, the weight of every factor
may be very tiny, and for this reason some
information will lost which leads to the invalidation of
the model. The multiple-grades comprehensive
421
evaluation model and the improved generalized fuzzy
operator were used in this paper.
3.2.1 Evaluation indexes: An evaluation factors set
could be got from the evaluation index system as
shown in equation 1
U = (U,,U,,U,,U,} (D
where U represented all the sets of the 2nd evaluation
factors.
The subset of U, (i = 1,2,3,4) is
U,= Un Un Un Ua Uis} @)
where U, represented the 2nd set of evaluation
factors.