one-line formula

mcdm.tex

@@ -134,4 +134,4 @@ 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.
-$$\frac{p_1^{w_1} p_2^{w_2} \ldots}{q_1^{v_2} q_2^{v_2} \ldots}$$
+$$(p_1^{w_1} p_2^{w_2} \ldots) / (q_1^{v_2} q_2^{v_2} \ldots)$$