summary:The information boundedness principle requires that the knowledge obtained as a result of an inference process should not have more information than that contained in the consequent of the rule. From this point of view relevancy transformation operators as a generalization of implications are investigated
There has been a complicated relationship associated with fuzzy logic and probability theory. All th...
<p>Section A shows the current state of the artificial world. The observed prey agent is depicted in...
The management of uncertainty and imprecision is becoming more and more important in knowledge-base...
summary:The information boundedness principle requires that the knowledge obtained as a result of an...
A generalized fuzzy controller is introduced and its properties are investigated. More attention is ...
In this work we provide a short survey of the most frequently used fuzzy reasoning schemes. The pap...
[[abstract]]There have been only few attempts to extend fuzzy logic to automated theorem proving. In...
AbstractThis paper analyzes the performance of some fuzzy implications proposed in the bibliography ...
AbstractIn this paper we discuss both forward implication and backward implication, and the differen...
summary:Aiming at the previously-proposed entropy-based differently implicational algorithm of fuzzy...
Special Issue: Computational Intelligence for Decision Making SystemsInternational audienceThis arti...
More and more companies today discover the advantages of using knowledge bases for their processes a...
Nowadays, people start to accept fuzzy rule--based systems as flexible and convenient tools to solve...
In this work we present a model for handling uncertain information. The concept of fuzzy knowledge-b...
Aggregation of information represented by membership functions is a central matter in intelligent sy...
There has been a complicated relationship associated with fuzzy logic and probability theory. All th...
<p>Section A shows the current state of the artificial world. The observed prey agent is depicted in...
The management of uncertainty and imprecision is becoming more and more important in knowledge-base...
summary:The information boundedness principle requires that the knowledge obtained as a result of an...
A generalized fuzzy controller is introduced and its properties are investigated. More attention is ...
In this work we provide a short survey of the most frequently used fuzzy reasoning schemes. The pap...
[[abstract]]There have been only few attempts to extend fuzzy logic to automated theorem proving. In...
AbstractThis paper analyzes the performance of some fuzzy implications proposed in the bibliography ...
AbstractIn this paper we discuss both forward implication and backward implication, and the differen...
summary:Aiming at the previously-proposed entropy-based differently implicational algorithm of fuzzy...
Special Issue: Computational Intelligence for Decision Making SystemsInternational audienceThis arti...
More and more companies today discover the advantages of using knowledge bases for their processes a...
Nowadays, people start to accept fuzzy rule--based systems as flexible and convenient tools to solve...
In this work we present a model for handling uncertain information. The concept of fuzzy knowledge-b...
Aggregation of information represented by membership functions is a central matter in intelligent sy...
There has been a complicated relationship associated with fuzzy logic and probability theory. All th...
<p>Section A shows the current state of the artificial world. The observed prey agent is depicted in...
The management of uncertainty and imprecision is becoming more and more important in knowledge-base...