The Average Cumulative representation of fuzzy intervals is connected with the possibility theory in the sense that the possibility and necessity functions are substituted by a pair of non decreasing functions defined as the positive and negative variations in the Jordan decomposition of a membership function. In this paper we motivate the crucial role of ACF in determining the membership function from experimental data; some examples and simulations are shown to state the robustness of the proposed construction
A crucial issue in the empirical measurement of membership functions is whether the degree of fuzzin...
International audienceWe show that any capacity or fuzzy measure ranging on a qualitative scale can ...
Theoretically, we can have membership functions of arbitrary shape. However, in practice, at any giv...
The Average Cumulative representation of fuzzy intervals is connected with the possibility theory in...
It is acknowledged that a fuzzy interval has two equivalent representations given in terms of the so...
Likelihood functions are studied in a probabilistic and possibilistic setting: inferential conclusio...
Since Zadeh (1965} introduced the notion of fuzzy sets one of the main difficulties has been with th...
Based on the conclusions drawn in the bijective transformation between possibility and probability, ...
By axiomatic way, we propose a new measure of general information of any fuzzy sets by using its mem...
The evidence theory is ascribed to a specific kind of uncertainty. In this theory, uncertainty refer...
[[abstract]]The concept of (fuzzy) probability density function of fuzzy random variable is proposed...
International audienceInterval-valued fuzzy sets were proposed thirty years ago as a natural extensi...
AbstractA crucial issue in the empirical measurement of membership functions is whether the degree o...
Fuzzy techniques describe expert opinions. At first glance, we would therefore expect that the more ...
A crucial issue in the empirical measurement of membership functions is whether the degree of fuzzin...
International audienceWe show that any capacity or fuzzy measure ranging on a qualitative scale can ...
Theoretically, we can have membership functions of arbitrary shape. However, in practice, at any giv...
The Average Cumulative representation of fuzzy intervals is connected with the possibility theory in...
It is acknowledged that a fuzzy interval has two equivalent representations given in terms of the so...
Likelihood functions are studied in a probabilistic and possibilistic setting: inferential conclusio...
Since Zadeh (1965} introduced the notion of fuzzy sets one of the main difficulties has been with th...
Based on the conclusions drawn in the bijective transformation between possibility and probability, ...
By axiomatic way, we propose a new measure of general information of any fuzzy sets by using its mem...
The evidence theory is ascribed to a specific kind of uncertainty. In this theory, uncertainty refer...
[[abstract]]The concept of (fuzzy) probability density function of fuzzy random variable is proposed...
International audienceInterval-valued fuzzy sets were proposed thirty years ago as a natural extensi...
AbstractA crucial issue in the empirical measurement of membership functions is whether the degree o...
Fuzzy techniques describe expert opinions. At first glance, we would therefore expect that the more ...
A crucial issue in the empirical measurement of membership functions is whether the degree of fuzzin...
International audienceWe show that any capacity or fuzzy measure ranging on a qualitative scale can ...
Theoretically, we can have membership functions of arbitrary shape. However, in practice, at any giv...