Each grade comments set V is 
VORN (3) 
VI: excellent 
V2: good 
V3: middle 
V4: qualified 
V5: unqualified 
3.2.2 The weights set of evaluation factors: It is very 
important to assign each factor’s weight, and there are 
two ways to assign the weights such as expert’s 
method and comparison method. The former method 
was used in this paper. 
The weights set A was built inUwhere A: 
A= 10,02, 1, Ach Yiu =1{q; 20) (4) 
And the weights set 4 was built in U; where 
Ai: 
Ar = (dj, di2, 05) (BL2, ..., 8) 
Di, ay = 1(a; > 0) (5) 
Then the fuzzy evaluation matrix of each 
factors R;(j=1,2,3,4) Was constructed through evaluated 
every single factor u; € U. 
ia M2 Tim 
T. Tone. LT. 
Ri pz m em (6) 
Tub Paz Tam 
In the above matrix, ry; (i 71, 2, m j71, 2... m) 
represented the degree of membership, and R; was 
the fuzzy relation from U, to V. Similarly, each 
factor's comprehensive evaluation translation matrix 
could be got. 
3.2.3 Fuzzy comprehensive evaluation: The fuzzy 
comprehensive evaluation decision matrix R in U 
could be computed through matrix multiplication. 
Bi A, R, 
i B; Ed 45 * R2 
R= B, = Aa" Rs (73 
B4 As Ry 
Then, the fuzzy comprehensive evaluation result B of 
one website could be computed through composed 
computation according the weights subset which was 
from matrix 7. 
B=AoR (8) 
Among the results through Expression 8, if 
b, zInax(A.5, ..., 5! (9) 
the evaluation object was considered as to belong to 
v;. The membership degree of other websites could be 
got as the same, and the scores represented the 
evaluation results from high to low clearly. 
3.3 Experiment 
The Map World website was taken as an example, and 
firstly, the objective evaluation groups should be 
selected which contained university students, 
specialized members in the online map service 
companies and common users. After scoring, the 
evaluation matrix of every subset U, (i=1,2,3,4) 
  
could be got. 
[0.80.10.10 0 0.60.30.10 0 
090.10 00 0.7030 00 
R, =|0.70.30 0 O}R,=|0.70.20.10 0 
0.80.20 00 0.70.30 00 
1080.10.10 0 0.60.30.10 0 
= 05050 00 
0.7030 00 
05030200 
R, =|0.60.30.1 0 O}R, = 
; 0.304030 0 
105030200 
04020400 
The weight vector of each subset was: 
A=[03 02 03 02] 
A =[0.25 02 0.15 0.1 0.3] 
015. 015. 02 02 .0.3] 
02 04 04] 
(0302 09.3: 02] 
A, =| 
A,=| 
A 
4 
After matrix multiplication, the comprehensive 
decision matrix of each subset in U was as following: 
0.805 0.14 0.055 0 0 
0.605 0.28 0.065 0 0 
058 -03- 012 0 Q 
042 037 021 0 Q 
At last, the evaluation result of MapWorld website 
Was: 
B=AoR=[0.6305 0.262 0.1705 0 0] 
The result indicated that the degree of membership to 
excellent is about 0.63(two decimal places). 
The evaluation results of other websites could be 
compute as the same in Table 3. 
      
  
  
    
    
  
   
   
    
   
   
   
  
  
  
  
  
   
  
  
   
   
    
  
   
    
  
   
   
   
     
   
   
  
    
   
  
  
   
  
   
   
  
     
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