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).