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Decision theory in conditions of uncertainty (fuzzy decision)

L.L. Lazzari, E.A. Machado, R.H. PĂ©rez. Universidad de Buenos Aires

Abstract

The aim of this essay is to propose an alternative study of the model of decision-making in conditions of uncertainty.

The proposition covers: a) a fuzzy treatment of the "state of events", b) an algorithm to obtain the "consequences" of each "course of action", c) a "methodology" with respect to courses of action and, d) the essential inclusion of an "attitude to risk" function in order to transform this primitive method into one which includes a "measurement" between each element in the course of events.

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