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The KQV matrix consists of weighted sums of the value vectors. By way of example, the highlighted last row is often a weighted sum of the very first 4 benefit vectors, with the weights being the highlighted scores.The sides, which sits amongst the nodes, is hard to control as a result of unstructured nature with the input. Plus the input is frequen