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+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).
+