While Bayesian Confirmation Measures assess the degree to which an antecedent E supports a conclusion H in a rule by means of probabilities, Fuzzy Confirmation Measures evaluate the quality of fuzzy association rules between the fuzzy antecedent A and fuzzy consequence B. Fuzzy Confirmation Measures defined in terms of confidence can be compared in different ways, among them symmetry properties evaluations play an important role. We first focus on symmetry properties for Fuzzy Confirmation Measures and then on the evaluation of possible levels of asymmetry. We suggest a way to measure the level of asymmetry and we also provide some examples to illustrate its possible use
In this paper, we propose an assessment method of agreement between fuzzy sets, called fuzzy Kappa w...
Abstract. We investigate a monotone link between Bayesian confirma-tion measures and rule support an...
International audienceIn this paper, we propose an assessment method of agreement between fuzzy sets...
While Bayesian Confirmation Measures assess the degree to which an antecedent E supports a conclusio...
Many researchers from different sciences focused their attention on quantifying the degree to which ...
Bayesian Confirmation Measures are used to assess the de- gree to which an evidence E supports or co...
FPD confirmation measures are used in ranking inductive rules in Data Mining. Many measures of this ...
Many Bayesian Confirmation Measures have been proposed so far. They are used to assess the degree to...
Usually, Symmetry and Asymmetry are considered as two opposite sides of a coin: an object is either ...
One of the main methods for eliciting the values of the membership function μ(x) is to use the Liker...
Abstract. One of the main methods for eliciting the values of the membership function (x) is to use ...
In intuitionistic fuzzy sets, there is a natural symmetry between degrees of truth and falsity. As a...
AbstractThis paper gives some simple examples to explain the biggest mistake of fuzzy sets is that d...
Abstract. One of the main methods for eliciting the values of the membership function (x) is to use ...
In this paper, we propose an assessment method of agreement between fuzzy sets, called fuzzy Kappa w...
Abstract. We investigate a monotone link between Bayesian confirma-tion measures and rule support an...
International audienceIn this paper, we propose an assessment method of agreement between fuzzy sets...
While Bayesian Confirmation Measures assess the degree to which an antecedent E supports a conclusio...
Many researchers from different sciences focused their attention on quantifying the degree to which ...
Bayesian Confirmation Measures are used to assess the de- gree to which an evidence E supports or co...
FPD confirmation measures are used in ranking inductive rules in Data Mining. Many measures of this ...
Many Bayesian Confirmation Measures have been proposed so far. They are used to assess the degree to...
Usually, Symmetry and Asymmetry are considered as two opposite sides of a coin: an object is either ...
One of the main methods for eliciting the values of the membership function μ(x) is to use the Liker...
Abstract. One of the main methods for eliciting the values of the membership function (x) is to use ...
In intuitionistic fuzzy sets, there is a natural symmetry between degrees of truth and falsity. As a...
AbstractThis paper gives some simple examples to explain the biggest mistake of fuzzy sets is that d...
Abstract. One of the main methods for eliciting the values of the membership function (x) is to use ...
In this paper, we propose an assessment method of agreement between fuzzy sets, called fuzzy Kappa w...
Abstract. We investigate a monotone link between Bayesian confirma-tion measures and rule support an...
International audienceIn this paper, we propose an assessment method of agreement between fuzzy sets...