Weighted Score Tables 

You can use weighted score tables to define your own valuation function by entering the valuations for the individual model fields and then using these valuations to create a weighted total.

Weighted Score Table
A beverage outlet wants to attract the younger end of the market by introducing a product from a higher price category into its product range. To determine potential customers, customer data (including attributes like age, income, and drink expenditure) is valuated directly using the weighted score tables. The age group 10-19 is valuated with 15, 20-29 with 10, 30-39 with 5, and so forth. The customer incomes are valuated continuously by taking the respective figure as the value in each case (that is, an income of 50,000 is valuated with 50,000). A weighting is then assigned to each attribute: 2 for age and 0.0001 for income. Thus, the score for a 25-year-old customer with an income of 40,000 is calculated as follows: (2 x 10) + (0.0001 x 40,000) = 24.

See Also

Special Settings for Weighted Score Tables