We consider probability density functions where some of the parameters are uncertain. We
model these uncertainties using fuzzy numbers producing fuzzy probability density …

We introduce a parametric family of cardinality-based similarity measures for ordinary sets
(on a finite universe) harbouring numerous well-known similarity measures. We characterize …

We consider discrete (finite) probability distributions where some of the probability values
are uncertain. We model these uncertainties using fuzzy numbers. Then, employing …

A family of fuzzification schemes is proposed that can be used to transform cardinality-based
similarity measures for ordinary sets into similarity measures for fuzzy sets in a finite …

We present all Bell-type inequalities regarding at most four random events of which not more
than two are intersected at the same time. Reformulating these inequalities in the context of …

We present meta-theorems stating general conditions ensuring that certain inequalities for
cardinalities of ordinary sets are preserved under fuzzification, when adopting a scalar …

A family of fuzzification schemes is proposed that can be used to transform cardinality-based
similarity measures for ordinary sets into similarity measures for fuzzy sets in a finite …

In this work we study the concept of P Z-compatibility, which holds for those t-norms for
which Zadeh's probability of fuzzy events fulfills Kolmogorov's axioms. Whether a probability …

Three times in my scientific life I fell in love. For the first time, in the middle of the Seventies of
the XX Century the object of my love was (and still is, since real love never ends) the theory …

In this thesis a parametric family of cardinality-based similarity measures for ordinary sets
(on a finite universe) harbouring numerous well-known similarity measures is introduced …