Часть VI issn 2072-0297


F-L0 to F-L4 in Tab. 1 represents the 5 fuzzy levels



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F-L0 to F-L4 in Tab. 1 represents the 5 fuzzy levels 
of the images from low to high
O-G1
Pen A
Apple
Car
Cat
Ship
O-G2
Pen B
Pear
Ball
Dog
Sheep
F-L0
X
X
X
X
X
F-L1
Y
X
X
X
X
F-L2
Y
Y
X
Y
X
F-L3
Y
Y
X
Y
X
F-L4
Y
Y
Y
Y
Y
X represents that things in O-G1 and O-G2 do not sat-
isfy CPI. Y represents that things in O-G1 and O-G2 satisfy 
CPI. Before fuzzy processing, we can see that all the items do 
not satisfy CPI. With the increasing of the fuzzy level, more 
and more images satisfy CPI. Till the end, all the results are 
Y. Here to dim the images is to unfold the information in dif-
ferent hierarchy or aspect of things. With the increasing of the 
fuzzy level, the subordination range increased too. For ex-
ample, an image of an apple, with the increasing of its fuzzy 
level, may subordinate to apple, fruit, food, thing, objective 
existence. From the table we can see that the condition which 
satisfies CPI can always be found in certain hierarchy or as-
pect.
For each item in Tab. 1 we choose only some single in-
formosome to perform the analysis. In reality, informosome 
usually exists in the form of large amount of informosome 
clusters. Although single informosome usually embodies 
only the information of shape and color, the informosome 
clusters can reflect all kinds of other characteristics. And 
the non-AV (not audio and video) information can be ob-
tained indirectly from the video or audio informosome clus-
ters. (Just like the electronic balance enables us to sense 
the weight with vision.) The larger the informosome clus-
ters are the more characteristics and properties it can re-
flect. Let's take dark cloud and rain as examples to give a 
more visual illustration about CPI of IC (informosome clus-
ters). The correlative degree between dark cloud and rain 
in object shape is low. However IC can change the correl-
ative degree that CPI brings among informosome. With IC 
formed under the effects of time similarity and spatial sim-
ilarity the correlative degree is so enhanced that we think 
of rain at the sight of dark cloud and vice versa. The larger 
ICs are, the powerful the cognition and logic ability of the 
system will be.
The interrelationship among all things can be established 
and expressed by similarities in computing. In order to make 
it convenient for computer to operate and process, we di-
vided the similarities of things into 3 varieties: appearance 
similarity, time similarity, spatial similarity. And each simi-
larity was divided into direct and indirect similarity. The direct 
similarity and indirect similarity are relative to the perceptive 
mode and perceptive intensity. That's to say; the direct simi-




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