@@ -133,12 +133,16 @@ The weighted-product method does not require normalization and as such is not su

Let $\vec{q}=\tuple{p_1, p_2, \ldots, q_1, q_2, \ldots}$ be an objective vector where the $p_i$ are more-is-better objectives and the $q_i$ are less-is-better objectives.

Let $\vec{w}=\tuple{w_1, w_2, \ldots, v_1, v_2, \ldots}$ be the weights, pre-determined by the decision maker.

The weighted product of the objective vector is calculated with the following formula.