Here you find examples of decision problems, structured as a hierarchy.
With a click on the link the corresponding hierarchy will be shown in the AHP online tool Example from my AHP video on Youtube Link: Buy MP3 Player 1 hierarchy levels, 6 end nodes, 1 priority vectors Reference: Decision making with the analytic hierarchy process, Thomas L.
These actors need to be satisfied with the degree of consensus they attain about the outcomes, and the quality of the outcomes.
In addition, the outcomes need to be of sufficient quality for these actors to derive practical guidelines that effectively enhance the technology’s later quality in clinical practice.
Decision making, for which we gather most of our information, has become a mathematical research today (Figuera et al., 2005).
It formalises the thinking we use so that, what we have to do to make better decisions is transparent in all its aspects.
Applications of AHP have been dominant in manufacturing, followed by the environmental management and agriculture field, power and energy industry, transportation industry, construction industry, and healthcare. https://doi.org/10.1108/00251741011043920 Download as .
Other remarkable application fields include education, logistics, e‐business, IT, R&D, telecommunication industry, finance and banking, urban management, defense industry and military, government, marketing, tourism and leisure, archaeology, auditing, and the mining industry.
Not all information is useful for improving our understanding and judgements.
If we only make conclusions intuitively, we are inclined to accept as true that all types of data are useful and the bigger the amount, the better. There are many demonstrations, which display that too much information is as bad as little information.