How is fuzzy logic usually formalized? There are many seemingly reasonable require-ments that a logic should satisfy: e.g., since and are the same, the correspond-ing and-operation should be commutative. Sim-ilarly, since means the same as, we should expect that the and-operation should also satisfy this property, etc. It turns out to be im-possible to satisfy all these seemingly natural requirements, so usually, some requirements are picked as absolutely true (like commutativity or associativity), and others are ignored if the
International audienceThe paper describes the relation between fuzzy and non-fuzzy description logic...
Fuzzy logic techniques were originally designed to translate expert knowledge -- which is often form...
Summarized here are the results of recent research on the conceptual foundations of fuzzy logic. The...
Abstract: How is fuzzy logic usually formalized? There are many seemingly reasonable requirements th...
How is fuzzy logic usually formalized? There are many seemingly reasonable requirements that a logic...
In the traditional (static) fuzzy logic approach, we select an and -operation (t-norm) and an or -...
The focus of this thesis is to determine exactly which functions serve as appropriate fuzzy negation...
AbstractIn fuzzy logic, connectives have a meaning that, can frequently be known through the use of ...
In classical (two-valued) logic, CNF and DNF forms of each propositional formula are equivalent to e...
What has been discussed up to now allows us to assume that the roots of fuzzy sets are in Language a...
Abstract: Fuzzy logic overcome the inability of classic logic to deal with vagues, uncomplete or imp...
One of big challenges of many state-of-the-art AI techniques such as deep learning is that their res...
Abstract. Although Dubois and Prade’s fuzzy elements and gradual sets cannot be represented as objec...
In the usual 2-valued logic, from the purely mathematical viewpoint, there are many possible binary ...
A new fuzzy logic, NMG, was presented in [19]. The authors also introduced new formulas to define th...
International audienceThe paper describes the relation between fuzzy and non-fuzzy description logic...
Fuzzy logic techniques were originally designed to translate expert knowledge -- which is often form...
Summarized here are the results of recent research on the conceptual foundations of fuzzy logic. The...
Abstract: How is fuzzy logic usually formalized? There are many seemingly reasonable requirements th...
How is fuzzy logic usually formalized? There are many seemingly reasonable requirements that a logic...
In the traditional (static) fuzzy logic approach, we select an and -operation (t-norm) and an or -...
The focus of this thesis is to determine exactly which functions serve as appropriate fuzzy negation...
AbstractIn fuzzy logic, connectives have a meaning that, can frequently be known through the use of ...
In classical (two-valued) logic, CNF and DNF forms of each propositional formula are equivalent to e...
What has been discussed up to now allows us to assume that the roots of fuzzy sets are in Language a...
Abstract: Fuzzy logic overcome the inability of classic logic to deal with vagues, uncomplete or imp...
One of big challenges of many state-of-the-art AI techniques such as deep learning is that their res...
Abstract. Although Dubois and Prade’s fuzzy elements and gradual sets cannot be represented as objec...
In the usual 2-valued logic, from the purely mathematical viewpoint, there are many possible binary ...
A new fuzzy logic, NMG, was presented in [19]. The authors also introduced new formulas to define th...
International audienceThe paper describes the relation between fuzzy and non-fuzzy description logic...
Fuzzy logic techniques were originally designed to translate expert knowledge -- which is often form...
Summarized here are the results of recent research on the conceptual foundations of fuzzy logic. The...