Decision Making in Phantom Spaces

  • Yehuda Izhakian
  • Published 2009


The phantom space, with its phantom probability measure, allows the framing of ambiguous probabilities of events, as well as their vague consequences. This paper introduces a decision-making model under uncertainty, established on a phantom generalization of the von Neumann-Morgenstern axiomatization. Beliefs in our model are subjective variations of… (More)


4 Figures and Tables