Current utility-theoretic approaches assume an aggregated group utility function and hence ignore aspects of the group decision making process.
Moreover, the credibility of historical results is used to revise the predicted results via the definition of a group utility function.
From the perspective of group, the group utility function of ( {mathbb{G}}_k left({mathcal{J}}^kright) ) is defined based on the social relationships.
Instead of maximizing its individual utility or the overall network utility, each user aims to maximize its social group utility that hinges heavily on its social ties with other users in IoT systems.
By considering three different perspectives (i.e., individual utility, group utility (( mathcal{J} )), and social utility (( mathfrak{T} ))), we can make possible comparisons of the selfish option in contrast to the socially cooperative option.
The key equilibrium condition is that workers of both groups must be indifferent over their city of residence; for individuals in each racial group, utility u j R is the same in each city.
Methods range from simple voting to aggregating individual utility functions into a group utility function.
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