Information Technology Reference
In-Depth Information
value
valid_plans: B
WrkIdx
×
PrcIdx
×
PP-infset
valid_plans(b,prcidx,wrkidx)
{
|
pp:PP φ (b,pp)(prcidx,wrkidx)
}
pp
pre consistent(b,wrkidx)
consistent(pp,wrkidx)
consistent(pp,prcidx)
Similarly, we can define the set of applicable budgets begin the budgets which
apply financially, given a project plan; assuming the mediating ties:
value
appl_budgets: PP
WrkIdx
×
PrcIdx
×
B-infset
appl_budgets(pp,prcidx,wrkidx)
{
b
|
b:B φ (b,pp)(prcidx,wrkidx)
}
pre consistent(b,wrkidx)
consistent(pp,wrkidx)
consistent(pp,prcidx)
) between
the power set of budgets and the power set of project plans; hence, between the
two concepts.
Generalising these two functions, gives a pair of dual functions (
F
,
G
value
F
WrkIdx)
:B-set
(PrcIdx
×
PP-infset
F
(bs)(prcidx,wrkidx)
{
pp
|
pp:PP (
b:B b
bs
φ (b,pp)(prcidx,wrkidx))
}
pre consistent(b,wrkidx)
consistent(pp,wrkidx)
consistent(pp,prcidx),
WrkIdx)
G
:PP-set
(PrcIdx
×
B-infset
G
(pps)(prcidx,wrkidx)
{
b
|
b:B (
pp:PP pp
pps
φ (b,pp)(prcidx,wrkidx))
}
pre consistent(b,wrkidx)
consistent(pp,wrkidx)
consistent(pp,prcidx)
Theorem 2. The mapping pair (
F
,
G
) is a Galois connection.
Proof. The proof is by inspection using Theorem 1. The functions
F
and
G
cor-
respond to ϕ R and ψ R , respectively. The binary relation R
N is the binary
relation between budget values (b:B) and project plan values (pp:PP). The binary
relation is defined by the predicate φ fp ; assuming
M
×
-quantification over the me-
diating ties (prcidx:PrcIdx) and (wrkidx:WrkIdx). X and Y correspond to finite
sets of values having type B and type PP, respectively; x and y are values in
these sets.
The above shows that any predicate indicating a relation between objects of
two concepts, may be utilized in a definition of a Galois connection. What gives
substance to the Galois connection in this paper (and in the proposed method),
is expressed by the formal models of the two concepts.
 
Search WWH ::




Custom Search