Probabilistic and fuzzy choice functions are used to describe decision situations in which some degree of uncertainty or imprecision is involved. We propose a way to equate these two formalisms by means of residual implication operations. Furthermore, a set of new rationality conditions for probabilistic choice functions is proposed and proved to be sufficient to ensure that the associated fuzzy choice function is rational
The role of the acyclicity property of fuzzy preference relations is studied in the framework of rat...
Fuzzy and probabilistic approaches to modelling individual choice or preference: rationality conditi...
The Arrow-Sen Theorem establishes the equivalence between different rationality conditions for a cho...
Probabilistic and fuzzy choice functions are used to describe decision situations in which some degr...
Probabilistic and fuzzy choice theory are used to describe decision situations in which a certain de...
IFSA-EUSFLAT'2015: 16th World Congress of the International Fuzzy Systems Association and 9th Confer...
Choices among alternatives in a set can be expressed in three different ways: by means of choice fun...
Imprecise choices can be described using either a probabilistic or a fuzzy formalism. No relation be...
Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2013) (8th. 2013
Traditional decision theory is based on a simplifying assumption that for each two alternatives, a u...
Preference of an alternative over another alternative is a useful way to express the opinion of deci...
Probability theory and fuzzy logic have been presented as quite distinct theoretical foundations for...
In practice, it is often necessary to make a decision under uncertainty. In the case of interval unc...
Decision making under uncertainty requires not only measures of the uncertainty of situations that w...
Abstract If a decision context is completely precise, making good decisions is relatively easy. In t...
The role of the acyclicity property of fuzzy preference relations is studied in the framework of rat...
Fuzzy and probabilistic approaches to modelling individual choice or preference: rationality conditi...
The Arrow-Sen Theorem establishes the equivalence between different rationality conditions for a cho...
Probabilistic and fuzzy choice functions are used to describe decision situations in which some degr...
Probabilistic and fuzzy choice theory are used to describe decision situations in which a certain de...
IFSA-EUSFLAT'2015: 16th World Congress of the International Fuzzy Systems Association and 9th Confer...
Choices among alternatives in a set can be expressed in three different ways: by means of choice fun...
Imprecise choices can be described using either a probabilistic or a fuzzy formalism. No relation be...
Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2013) (8th. 2013
Traditional decision theory is based on a simplifying assumption that for each two alternatives, a u...
Preference of an alternative over another alternative is a useful way to express the opinion of deci...
Probability theory and fuzzy logic have been presented as quite distinct theoretical foundations for...
In practice, it is often necessary to make a decision under uncertainty. In the case of interval unc...
Decision making under uncertainty requires not only measures of the uncertainty of situations that w...
Abstract If a decision context is completely precise, making good decisions is relatively easy. In t...
The role of the acyclicity property of fuzzy preference relations is studied in the framework of rat...
Fuzzy and probabilistic approaches to modelling individual choice or preference: rationality conditi...
The Arrow-Sen Theorem establishes the equivalence between different rationality conditions for a cho...