AbstractThis paper aims to show how, by using a threshold-based approach, a path from imprecise information to a crisp ‘decision’ can be developed. It deals with the problem of the logical transformation of a fuzzy set into a crisp set. Such threshold arises from the ideas of contradiction and separation, and allows us to prove that crisp sets can be structurally considered as classes of discontinuous fuzzy sets. It is also shown that continuous fuzzy sets are computationally indistinguishable from some kind of discontinuous fuzzy sets
The starting point of the paper is the (well-known) observation that the classical Rough Set Theory ...
This paper discusses basic notions underlying fuzzy sets, especially gradualness, uncertainty, vague...
It is known that from the purely mathematical viewpoint, fuzzy sets can be interpreted as equivalent...
AbstractThis paper aims to show how, by using a threshold-based approach, a path from imprecise info...
Fuzzy sets have been originally introduced as generalizations of crisp sets, and this is how they ar...
In this paper, we show that the necessity to make crisp decisions in uncertain (fuzzy) situations le...
10.1109/ICCAE.2010.54516882010 The 2nd International Conference on Computer and Automation Engineeri...
International audienceThere are two classical ways of viewing a fuzzy set in terms of a combination ...
Different definitions of the concept of a fuzzy semiorder are compared. It is proved that their α-cu...
Fuzzy sets are naturally ordered by the subsethood relation. If we only know which set which fuzzy s...
Our reasoning is clearly fuzzy, so why is crisp logic so often adequate? We explain this phenomenon ...
The notion of a fuzzy set stems from considering sets where, in the words of Zadeh, the "transition ...
The goal of this paper is to push forward the development of the apparatus of the Fuzzy Class theory...
International audienceStudies the representation of implication-based fuzzy rules in terms of a conv...
The concepts of fuzzy cγ-open sets and fuzzy cγ-continuity are introduced and studied in fuzzifying ...
The starting point of the paper is the (well-known) observation that the classical Rough Set Theory ...
This paper discusses basic notions underlying fuzzy sets, especially gradualness, uncertainty, vague...
It is known that from the purely mathematical viewpoint, fuzzy sets can be interpreted as equivalent...
AbstractThis paper aims to show how, by using a threshold-based approach, a path from imprecise info...
Fuzzy sets have been originally introduced as generalizations of crisp sets, and this is how they ar...
In this paper, we show that the necessity to make crisp decisions in uncertain (fuzzy) situations le...
10.1109/ICCAE.2010.54516882010 The 2nd International Conference on Computer and Automation Engineeri...
International audienceThere are two classical ways of viewing a fuzzy set in terms of a combination ...
Different definitions of the concept of a fuzzy semiorder are compared. It is proved that their α-cu...
Fuzzy sets are naturally ordered by the subsethood relation. If we only know which set which fuzzy s...
Our reasoning is clearly fuzzy, so why is crisp logic so often adequate? We explain this phenomenon ...
The notion of a fuzzy set stems from considering sets where, in the words of Zadeh, the "transition ...
The goal of this paper is to push forward the development of the apparatus of the Fuzzy Class theory...
International audienceStudies the representation of implication-based fuzzy rules in terms of a conv...
The concepts of fuzzy cγ-open sets and fuzzy cγ-continuity are introduced and studied in fuzzifying ...
The starting point of the paper is the (well-known) observation that the classical Rough Set Theory ...
This paper discusses basic notions underlying fuzzy sets, especially gradualness, uncertainty, vague...
It is known that from the purely mathematical viewpoint, fuzzy sets can be interpreted as equivalent...