International audienceThis paper deals with the set inversion problem X = f −1 (Y) in the case where the function f : R n → R m and the set Y are both uncertain. The uncertainty is treated under the form of intervals. More precisely, for all x, f (x) is inside the box [f ](x) and the uncertain set Y is bracketed between an inner set Y ⊂ and an outer set Y ⊃. The introduction of new tools such as thick intervals and thick boxes will allow us to propose an efficient algorithm that handles the uncertainty of sets in an elegant and efficient manner. Some elementary test-cases that cannot be handled easily and properly by existing methods show the efficiency of the approach
In interval computations, at each intermediate stage of the computation, we have intervals of possib...
ABSTRACT. In this paper, one presents how to use a new interval arithmetic framework based on free a...
International audienceThis paper aims at proposing the concept of thick fuzzy sets (TFSs). A TFS is ...
International audienceThis paper deals with the set inversion problem X = f −1 (Y) in the case where...
International audienceIf an interval of R is an uncertain real number, a thick set is an uncertain s...
International audienceThis paper deals with the set inversion problem X = f −1 (Y) in the case where...
We present an algorithm to characterize the set S = {x is an element of R-l : f(x) > 0} = f(-1)(]0, ...
International audienceIn the paper, we present a new interval-based set inversion algorithm which ta...
Abstract. In this paper, a new algorithm based on Set Inversion techniques and Modal Interval Analys...
International audienceCarrying uncertain information via a multivalued function can be found in diff...
We present an algorithm to characterize the set S = {x ∈ R-1 : f(x) > 0} = f(-1)(]0, ∞...
Uncertainty of measuring complex-valued physical quantities can be described by complex sets. These ...
In interval computations, at each intermediate stage of the computation, we have intervals of possib...
Set intervals techniques are an efficient way of dealing with uncertainty in spatial localization pr...
In the ideal case of complete knowledge, for each property Pi (such as high fever , headache , etc...
In interval computations, at each intermediate stage of the computation, we have intervals of possib...
ABSTRACT. In this paper, one presents how to use a new interval arithmetic framework based on free a...
International audienceThis paper aims at proposing the concept of thick fuzzy sets (TFSs). A TFS is ...
International audienceThis paper deals with the set inversion problem X = f −1 (Y) in the case where...
International audienceIf an interval of R is an uncertain real number, a thick set is an uncertain s...
International audienceThis paper deals with the set inversion problem X = f −1 (Y) in the case where...
We present an algorithm to characterize the set S = {x is an element of R-l : f(x) > 0} = f(-1)(]0, ...
International audienceIn the paper, we present a new interval-based set inversion algorithm which ta...
Abstract. In this paper, a new algorithm based on Set Inversion techniques and Modal Interval Analys...
International audienceCarrying uncertain information via a multivalued function can be found in diff...
We present an algorithm to characterize the set S = {x ∈ R-1 : f(x) > 0} = f(-1)(]0, ∞...
Uncertainty of measuring complex-valued physical quantities can be described by complex sets. These ...
In interval computations, at each intermediate stage of the computation, we have intervals of possib...
Set intervals techniques are an efficient way of dealing with uncertainty in spatial localization pr...
In the ideal case of complete knowledge, for each property Pi (such as high fever , headache , etc...
In interval computations, at each intermediate stage of the computation, we have intervals of possib...
ABSTRACT. In this paper, one presents how to use a new interval arithmetic framework based on free a...
International audienceThis paper aims at proposing the concept of thick fuzzy sets (TFSs). A TFS is ...