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In-Depth Information
Fig. 2 is an example of th
gitization results. Where, A
low them stands for the cate
he original garment design picture, table 1 gives out its
A to G stand for the 7 design items, while the number
egories they fall into.
s di-
fol-
Fig. 2.
Original bitmap
Table 1.
D
Digitization and classification results of Fig. 2
ID
Outline
Waist
length
collar
Sleeve
ornaments
symmetry
10
A1
B2
C2
D1
E2
F2
G1
3.3 The Objective Search
hing
We use genetic algorithm to
space for garments with use
please refer to our former p
approached by rules generat
experts. The result we got w
o search in the initial digitized 10 attributes objective feat
er designated style. For details of GA coding of the garm
paper [15]. The fitness function of the genetic algorithm
ted by data mining techniques from the judgments of fash
will be the candidate set to be input into MDFT modeling.
ture
ment
m is
hion
3.4 Subjective Deliberati
ing Modeling
In the subjective delibera
attributes. For example, w
too unique or we might wa
cause of the deliberating p
pens quite often when we a
will deliberate and make
can be used to model the t
ing between two or more
suming or almost impossi
have to map the independ
space into the low dimensi
ating space, we are always facing with conflict feel
e might want to be fashionable but in the mean time
ant to be traditional but not too usual, etc. This is the m
rocess in decision making. This kind of deliberation h
are facing a relatively small set of candidate choices.
some trade-off between some conflict attributes. MD
trade-off deliberating process happened in decision m
disaccord or even conflict attributes, but it is time c
ible to deliberate among a large set of attributes, so
dent attributes in the high dimensional objective featu
onal negatively correlated subjective feeling space.
ling
not
main
hap-
We
DFT
mak-
con-
we
ures
•
Semantic mapping
Semantic mapping establis
and the objective classifica
clothing style to the semant
shes relationship between customers' subjective feeli
ation of design elements by mapping the perception of
tic space that describes this perception.
ings
the
