Naturally, before funding an environmental program on a large scale, decision makers would like to know whether or not a program will be successful in terms of, first, ecological efficacy and, second, economic efficiency.
In this situation, a large majority of decision makers will prefer the gamble in Option B, even though the other choice is statistically superior.
Scale matters, so models must often include large numbers of decision makers.
However, an emergency decision often involves many stakeholders, and thus requires the participation of larger number of decision makers.
This decline results in projected changes in the epidemic potential well before 2050, which may be of larger concern for decision makers than changes projected at the end of the 21st century.
A large body of empirical work has suggested the existence of a "choice overload" effect in consumer decision making: when faced with large menus of alternatives, decision makers often avoid/indefinitely defer choice.
The large-scale attributes and decision makers are classified by linguistic principal component analysis and fuzzy equivalence clustering with linguistic information respectively.
The larger the number of decision makers involved the more complicated and challenging coordination becomes.
Here's a scary thought for decision makers inside large organizations grappling with digital transformation.
However, these algorithms produce a large number of rules, preventing decision makers from making their own selection of the most interesting rules.
In some cases the set of trade-off solutions can grow very large, so the decision maker must be assisted in exploring it.
