Titlebook: Aggregation Functions in Theory and in Practise; Proceedings of the 7 Humberto Bustince,Javier Fernandez,Tomasa Calvo Conference proceeding

冒號(hào)

托運(yùn)

Ptosis

Functional Equations Involving Fuzzy Implications and Their Applications in Approximate Reasoninguzzy logic. In recent years, investigations has been deepened,which resulted in publishing some surveys [6] and two research monographs [1, 3] entirely devoted to this class of fuzzy connectives..In our talk we concentrate on different functional equations (or inequalities) involving fuzzy implicati

荒唐

Emg827

Copulas, Tail Dependence and Applications to the Analysis of Financial Time Serieso a stochastic model (Value-at-Risk, for instance). Here we aim at presenting some investigations about tail dependence including the following aspects: the determination of suitable stochastic models to be used in extreme scenarios; the notion of threshold copula, that helps in describing the tail

Ancillary

Compatible Group Decisionser possesses the same information regarding the case under discussion. This happens because individuals can hold different reasonable positions based on the information they share. The field of judgment aggregation studies how individual positions on the same information can be aggregated into a col

中止

DRAFT

On the Construction of Semiquadratic Copulaswhich the diagonal section or the opposite diagonal section are given functions. These copulas are constructed by quadratic interpolation on segments connecting the diagonal (resp. opposite diagonal) of the unit square to the boundaries of the unit square.We provide for each class the necessary and

LEVER

Atmosphere

OM3: Ordered Maxitive, Minitive, and Modular Aggregation Operators: Axiomatic Analysis under Arity-Dtersection between any pair of the mentioned classes is the same. This result introduces what we here propose to call the OM3 operators. In the first part of our contribution on the analysis of the OM3 operators we study some properties that may be useful when aggregating input vectors of varying le