International audienceThis paper presents a new type of fuzzy sets, called "Hierarchical Fuzzy Sets", that apply when the considered domain of values is not "flat", but contains values that are more specific than others according to the "kind of" relation. We study the properties of such fuzzy sets, that can be defined in a short way on a part of the hierarchy, or exhaustively (by their "closure") on the whole hierarchy. We show that hierarchical fuzzy sets form equivalence classes in regard to their closures and that each class has a particular representative called "minimal fuzzy set". We propose a use of this minimal fuzzy set for query enlargement purposes and thus present a methodology for hierarchical fuzzy set generalization. We fina...
Experts are often not 100% confident in their statements. In traditional fuzzy logic, the expert\u27...
[[abstract]]Machine learning can extract desired knowledge and ease the development bottleneck in bu...
The well-tried method of fuzzy classification is extended to hierarchical class structures to allow ...
This paper presents a new type of fuzzy sets, called "Hierarchical Fuzzy Sets," that apply when the ...
Within the framework of flexible querying of possibilistic databases, based on the fuzzy set theory,...
Abstract—It is widely recognized that standard fuzzy systems suffer the “curse of dimensionality ” a...
Many fuzzy rule induction algorithms have been proposed in the past. Most of them tend to generate t...
Hierarchical fuzzy structures composed of a series of sub-models connected in cascade have been foun...
Hierarchical fuzzy structures composed of a series of sub-models connected in cascade have been foun...
Fuzzy rule based systems have been very popular in many control applications. However, when fuzzy co...
Frontiers of Higher Order Fuzzy Sets, strives to improve the theoretical aspects of general and Inte...
In this letter, the hierarchical fuzzy systems are analyzed and designed. In the analysis part, we p...
A fuzzy set is a class of objects with a continuum of grades of membership. Such a set is characteri...
A number of techniques have been developed to turn data into useful knowledge. Most of the algorithm...
AbstractThis paper deals with the connections existing between fuzzy set theory and fuzzy relational...
Experts are often not 100% confident in their statements. In traditional fuzzy logic, the expert\u27...
[[abstract]]Machine learning can extract desired knowledge and ease the development bottleneck in bu...
The well-tried method of fuzzy classification is extended to hierarchical class structures to allow ...
This paper presents a new type of fuzzy sets, called "Hierarchical Fuzzy Sets," that apply when the ...
Within the framework of flexible querying of possibilistic databases, based on the fuzzy set theory,...
Abstract—It is widely recognized that standard fuzzy systems suffer the “curse of dimensionality ” a...
Many fuzzy rule induction algorithms have been proposed in the past. Most of them tend to generate t...
Hierarchical fuzzy structures composed of a series of sub-models connected in cascade have been foun...
Hierarchical fuzzy structures composed of a series of sub-models connected in cascade have been foun...
Fuzzy rule based systems have been very popular in many control applications. However, when fuzzy co...
Frontiers of Higher Order Fuzzy Sets, strives to improve the theoretical aspects of general and Inte...
In this letter, the hierarchical fuzzy systems are analyzed and designed. In the analysis part, we p...
A fuzzy set is a class of objects with a continuum of grades of membership. Such a set is characteri...
A number of techniques have been developed to turn data into useful knowledge. Most of the algorithm...
AbstractThis paper deals with the connections existing between fuzzy set theory and fuzzy relational...
Experts are often not 100% confident in their statements. In traditional fuzzy logic, the expert\u27...
[[abstract]]Machine learning can extract desired knowledge and ease the development bottleneck in bu...
The well-tried method of fuzzy classification is extended to hierarchical class structures to allow ...