#### Eliminate Decision by Increasing Weight Percentages Example

 Offset Item Class Attribute Name Attribute Value Upper % Lower % Attribute Count Total Count 0 VEHICLE COLOR YEL,GRN 75 25 10 100 1 VEHICLE SIZE M 50 10 90 1

Array Offset 0

SRC1.

Head Item with class of VEHICLE has a color attribute of YEL. Possible attribute values are YEL and GRN. We have a match so the Attribute Percentage has the following formula:

Attribute Percent = Attribute Release Count / total Count * 100

10= 10/100 * 100

Since Attribute Percent is lower than l0 %, the decision weight is increased as follows:

Weight Delta = Upper % - Attrib %

65 = 75 – 10

So the weight will now be 75 for the decision.

SRC2.

Head Item with class of VEHICLE has a color attribute of GRN. Possible attribute values are YEL and GRN. We have a match so the Attribute Percentage has the following formula:

Attribute Percent = Attribute Release Count / Total Count * 100

10 = 10/100 * 100

Since Attribute Percent is lower than lo %, the decision weight is increased as follows:

Weight Delta = Upper % - Attrib %

65 = 75 - 10

So the weight will now be 70 for the decision.

Array Offset 1

SRC1.

Head Item with class of VEHICLE has a size attribute of M. Possible attribute values are S M L XL. We have a match so the Attribute Percentage has the following formula:

70 = 70/100 * 100

Since this value is greater than the Upper %, the decision is eliminated.

SRC2.

Head Item with class of VEHICLE has a size attribute of S. There is no match so the decision is skipped.

Thus SRC2 is the only decision remaining, so it will be selected.

Note: In the event there are multiple decisions remaining that have had their weights increased, the Select Decision with Highest Order and Weight Function Block can be run to select the appropriate decision.

 Eliminate Decision by Increasing Weight Percentages.