Decision preparation is a process

A business decision is well-prepared if the "hard" (quantifiable) and "soft" (non-quantifiable) data are both collected, properly organised and the conclusions drawm from them are explicable and clear.

DoctuS KBS is helping to draw conclusions from soft, that is the non-quantifiable data. For this purpose, a decision preparation process - typically helped by a Knowledge Engineer - looks like this:

Step 1: the decision maker and the area experts of the company define the dilemma.

Step 2: the existing knowledge has to be collected. For this, all the important expectations (attributes) must be thinked through. A business decision can be declared well-prepared only if at least 15-20 attributes can be drawn up, that cover all the relevant areas connected to the decision. Simultaneously with the formulation of expectations, the values that the expectations can take must be given.

Step 3: it must be defined which cases (decision alternatives) will be compared to draw the conclusions.

Step 4: the elements of knowledge collected so far are organised in a graph (decision tree).

Step 5: the logical ("if...then") rules are defined between each element of knowledge. If necessary, the rules are refined by repeating this step several times until the conclusion is of appropriate quality.

Step 6: the conclusion is drawn based on the rules.

Step 7: the conclusion, drawn by the software, is explained.