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The basic assumption embodied in the random utility approach to choice modeling is that decision makers are utility maximizers, i.e. given a set of alternatives the decision maker will choose the alternative that maximizes his/her utility.
Given a set of alternatives A and n rankings over A, we wish to identify an appropriate rule/principle that when presented with the n-tuple of rankings of alternatives, returns from A a unique consensus object that in some sense best represents the information/consequences of the individual rankings.
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What this means is that given a set of alternative forms, some will be chosen by users more often than others, and those chosen forms will be made known to other users through vertical, horizontal, or oblique transmission at the expense of the less desired forms.
C given a set of parameters.
Given a set of items.
"It's so nice to have a set of alternative ideas to the conventional wisdom".
Analytic hierarchy process (AHP) is another multi-attribute method which is a decision-making method for selecting the best among a set of alternatives, given some criteria.
These two components are influenced by multiple regulators, giving rise to a set of alternative logical functions describing their effect on c-di-GMP or MlrA (see Additional file 1 for details).
Thus, we interpret the composite Akaike weight as describing the average relative likelihood of a given biogeographic scenario over a set of alternative scenarios.
After the need is established, there is a set of alternatives called an opportunity set.
Based on these discussions, a set of alternatives was defined.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com