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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.
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