Abstract
The aim of this chapter is to revisit an experiment of Kahneman and Tversky to arrive at conclusions about Prospect theory and the ways of human thinking, but using a fuzzy approach, especially the compensatory one. New results shall be proved and others well-known shall be changed or confirmed. The study comprises the examination of logical predicates like those expressed by the following sentences: “if a scenario is probable then it is convenient”, “there exist probable and convenient scenarios” and “all the scenarios are probable and convenient”. According to the empirical results, the Reichenbach implication and the Geometric Mean are closest to the people’s way of thinking.
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Andrade, R.A.E., González, E., Fernández, E., Gutiérrez, S.M. (2014). A Fuzzy Approach to Prospect Theory. In: Espin, R., Pérez, R., Cobo, A., Marx, J., Valdés, A. (eds) Soft Computing for Business Intelligence. Studies in Computational Intelligence, vol 537. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53737-0_3
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