Intelligent Cognitive Data Analysis Systems of the UBMSS Type as an Example of Cognitive Categorisation Systems - Advances in Cognitive Information Systems - page 70

4. STRONG_ACCEPT  W1 W2 // if (w1 & w2 = strong accept) final_decision := strong
accept
5. NOT_ACCEPT  W1 W2 // if (w1 & w2 =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. A → a // decision:= weak
9. B → b // decision:= weak
10.C → c // decision:= accept
11.D → d // decision:= strong
12.E → e // decision:= not accept
An example UBMSS system analysing the selected economic indicators is
shown in Figure 4.6.
Fig. 4.6. Example results from a UBMSS system analysing the r and the IRR
Figure 4.6 shows a situation where the r and the IRR are different. In the first
case, in which r is 0,33 and the IRR is 0,57, indicator values show that the invest-
ment should be undertaken, so this is a fully acceptable situation.