![]() ![]() Model D – red, 64 Gbyte, 1 month wait, USD 150.Model C – black, 32 Gbyte, 1 week wait, USD 150.Model B – blue, 16 Gbyte, immediate availability, USD 120.Model A – pink, 32 Gbyte, immediate availability, USD 120.I have the choice of colors (pink, blue, green, black, red), storage (8, 16, 32, 64 Gbyte), and availability (immediate, 1 week, 1 month). To demonstrate how the method works, let us take a simple example. Initial studies show that this increases the reliability of identification from 55 % to 83 % and reduces the false identification rate from 20 % to 17 %, and that the consistency index is a good measure of the reliability of statements by witnesses. AHP is then used to evaluate the results. One of the most interesting fields and a very current application of AHP is the identification of suspects by witnesses in criminal cases, where the candidates for identification are not shown all together or sequentially, but in pairs. Validation of the method in practical testing shows surprisingly good agreement with actual measured values. AHP DECISION MAKING EXAMPLE FREEassigning points) or the free assignment of priorities. The core of AHP is the comparison of pairs instead of sorting (ranking), voting (e.g. Sometimes alternatives are already implicitly defined by the problem and it is sufficient merely to define the priorities. Evaluate alternatives according to the priorities identified – what alternative optimum solution is there to the decision problem?.Calculate the priorities and a consistency index – were my comparisons logical and consistent?.blue or green? Which do I prefer, and by how much do I prefer one or the other color? ![]()
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