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191056

What we are learning from neurosciences about decision-making

a quest for fuzzy set technology

Armando Rocha Fernando Gomide Witold Pedrycz

pp. 361-375

Abstract

Classic decision theory asserts that decision makers should choose the option that offers the highest expected value. Daniel Bernoulli [24] (Trepel, Fox and Poldrack, 2005) suggested that people do not evaluate options by their objective value but rather by their utility and conjectured that appropriate choices are those for which the expected utility is maximum. Bernoulli also argued that utility functions should to be a concave function because he assumed that the marginal utility decreases as the assets increases.

Publication details

Published in:

Seising Rudolf (2009) Views on fuzzy sets and systems from different perspectives: philosophy and logic, criticisms and applications. Dordrecht, Springer.

Pages: 361-375

DOI: 10.1007/978-3-540-93802-6_17

Full citation:

Rocha Armando, Gomide Fernando, Pedrycz Witold (2009) „What we are learning from neurosciences about decision-making: a quest for fuzzy set technology“, In: R. Seising (ed.), Views on fuzzy sets and systems from different perspectives, Dordrecht, Springer, 361–375.