Decision Support System
Process and Computations
- Each Factor has textual identification and a numeric rank.
- Each Alternative has a textual identification and a final score.
Decision-Maker Input:
- Textual identification of each alternative
- Result: Collection of Alternatives
Decision-Maker Input:
- Textual identification of each factor
- Result: Collection of Factors
Facilitated Input (using two-item relative quantification):
- Relative rankings of factors
- Result: A relative ranking value associated with each Factor
Facilitated Input (using two-item relative quantification):
- Relative cross-rankings of choices within each factor
- Result: A matrix of Choices x Factors with relative ranking values of Choices within each Factor
Normalization of Cross-Rankings within Each Factor:
- Divide the value of each cross-ranking within a Factor by the sum of all cross-ranking values associated with that Factor.
Weighted Sum for Each Alternative:
- Compute the weighted sum for each Alternative by adding together the normalized cross-rankings of the Alternative
each multiplied by the rank of its associated Factor.
Normalization of Final Scores:
- Determine the maximum weighted sum over all Alternatives.
- Divide each Alternative’s weighted sum by that maximum weighted sum, yielding values between 0.0 and 1.0.
- Optionally, multiply the results by a pre-determined constant representing the “top choice” value (e.g., 100).