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Liginlal and Ow [29] is an excellent review on analyzing decision maker behavior using fuzzy measure.
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Game theory is a branch of mathematics, operations research and economics applied to study decision makers' behavior in conflict resolution.
We need to take a more realistic and honest view: decision makers behavior may largely deviate from optimal criteria, utility functions may not be computable, and people may make systematic errors in predicting the future driving the system to multiple equilibria and instability.
Their models for economic analysis and decision making take into consideration the psychological, social, and other non-economic factors that guide decision-makers' behavior.
We cannot yet, from the results of the evaluation of this first year of activity, draw any conclusions about the approach's efficacy in changing practitioner and decision-maker behavior.
This paper launches the challenge by introducing cognitive modeling for specifying decision-maker behaviors more naturally and intuitively.
This indicates that the presence or absence of a dominant strategy for one of the players has an impact on how the type of decision maker influences behavior.
Central to this discussion was how decision maker's behaviors and practices can be influenced to safeguard the interests of consumers, especially the poor and marginalized.
The relations between these three input behaviors (decision maker, problem solver, and leader) and the resulted outputs are described in this model to produce the output.
The psychological behavior of decision maker, for instance, judgmental distortion, reference dependence and loss aversion, are considered.
The utility function provides a uniform and generalized scale and can integrate the risk behavior of the decision maker.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com