Information Technology Reference
In-Depth Information
Σ
S w - the start symbol of the grammar, S w
, S w = RESULTS,
N
w
P w - a set of productions, defined as follows:
1. RESULTS WEAK_ACCEPT | ACCEPT | STRONG_ACCEPT | NOT_ACCEPT
2. WEAK_ACCEPT W1 W2 W3 // if (w1 & w2 & w3 = weak accept) final_decision:=
weak accept
3. ACCEPT W1 W2 W3 // if (w1 & w2 & w3 = accept) final_decision := accept
4. STRONG_ACCEPT W1 W2 W3 // if (w1 & w2 & w3 = strong accept) final_decision
:= strong accept
5. NOT_ACCEPT W1 W2 W3 // if (w1 & w2 & w3 =not accept) final_decision := not
accept
6. W1 A | B | C | D | E // w1=decision
7. W2 A | B | C | D | E // w2=decision
8. W3 A | B | C | D | E // w3=decision
9. A → a // decision:= weak
10.B → b // decision:= weak
11.C → c // decision:= accept
12.D → d // decision:= strong
13.E → e // decision:= not accept
An example UBMSS system analysing the selected economic indicators is
shown in Figure 4.8.
This example shows three fundamentally different situations. The first is an at-
tempt to take a decision when the NPV is positive and the IRR is greater than the
r . In this situation, the system finds the investment acceptable.
In the second case, the NPV is zero while the r is equal to the IRR. In this situa-
tion the system decides that the investment is only just acceptable because the r
and the IRR are low.
The third case illustrates a situation in which the NPV is negative and the IRR
is lower than the r . The UBMSS finds the investment unacceptable because all in-
dicators are negative.
The semantic analysis conducted by a UBMSS system shows how important it
is not just to analyse the indicators, but primarily to determine the dependencies
between them. This is because an analysis should not be conducted using just the
values of ratios. This could mean that the activities would produce wrong results
since the analysis excludes the important impact other information has on the
specific (analysed) ratio. The analysed ratio can be changed by many different
factors, including the changes of other indicators influencing the value of the
analysed ones.
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