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3.3 Proposed Rule Ordering Mechanism
In Sect. 2.3.2 five existing rule ordering strategies were presented. Each is
separated into both rule weighting and rule re-ordering stages. From the pre-
vious section, a list of CARs
R ⊂R
has been generated that only consists
of the “best k ” rules for each class c i
. A rule re-ordering
strategy is then required in the process of rule ordering. The rule re-ordering
mechanism proposed herein contains three steps as follows:
C , identified in
R
1.
R is ordered using the well-established CSA ordering strategy.
2. The original
R ,as
R +
R
is linked at back of
R
.
3. Reassign: R← ( R + R ).
3.4 Deterministic Selectors
We say that a set P hits a set Q on element q ,if P
Q =
{
q
}
, and a family
F
of sets hits a set Q on element q ,if P
Q =
{
q
}
for at least one P
∈F
.
De Bonis et al. [19] introduced a definition of a family of subsets of set [ N ]
{
which hits each subset of [ N ] of size at most k on at
least m distinct elements, where N,k and m are parameters, N
0 , 1 ,
···
,N
2 ,N
1
}
k
m
1.
They proved the existence of such a family of size O (( k 2 / ( k
m + 1)) log N ).
For convenience of our presentation, we prefer the following slight modification
of this definition, obtained by using the parameter r = k
m instead of the
parameter m . For integers N and k ,andarealnumber r such that N
k
r
0, a family
F
of subsets of [ N ]isa( N,k,r )-selector, if for any subset
Q
[ N ]ofsizeatmost k , the number of all elements q of Q such that
F
does
not hit Q on q is at most r. That is,
|{
q
Q :
P
∈F
,P
Q
=
{
q
}}| ≤
r .
In terms of this definition, De Bonis et al. [19] showed the existence of a
( N,k,r )-selector of size T ( N,k,r )= O (( k 2 / ( r +1)) log N ) . In particular, there
exists a ( N,k, 0)-selector of size O ( k 2 log N ) such a “strong” selector hits each
set Q
[ N ] of size at most k on each of its elements.
3.5 Proposed Randomised Selectors
A randomised k -selector
F
is a family of subsets of set [ N ]
≡{
0 , 1 ,...,N
2 ,
N
1
}
which hits each element q of the subset Q
[ N ] of size at most k
with a high probability.
Theorem 1. There exists a randomised k-selector
F
of size O ( k ) such that
F
hits each set Q
[ N ] of size at most k on each of its elements with a constant
probability p
1 / 8 .
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