This is an accepted manuscript of an article published by Taylor & Francis in International Journal of Computational Intelligence Systems in 2013, available online: http://wwww.tandfonline.com/ 10.1080/18756891.2013.781337.In some cases, the relationship between an object set X and an attribute set Y is set up by means of a fuzzy context sequence. A particular case of this situation appears when we want to study the evolution of an L-fuzzy context in time. In this work, we analyze these situations. First we introduce the fuzzy context sequence definition and remind the main results about OWA operators. With the aid of these operators, we propose an exhaustive study of the different contexts values of the sequence using some new relations. ...
In this work we provide a short survey of the most frequently used fuzzy reasoning schemes. The pap...
Context adaptation (CA) based on evolutionary algorithms is certainly a promising approach to the de...
Fuzzy rule-based systems (FRBS) use the principle of fuzzy sets and fuzzy logic to describe vague an...
In this work, we consider a complete lattice L and we study L-fuzzy context sequences which represe...
Information extracted from L-fuzzy contexts is substantially improved by taking into account differe...
This paper will delve deeper into the general study of the L-fuzzy contexts associated with criteria...
Sometimes we have to work with L-fuzzy context sequences where one or more values are missing. These...
In the analysis of relations among the elements of two sets it is usual to obtain different values d...
This is an accepted manuscript of an article published by Taylor & Francis in International Journal ...
In 1882 Wille published the paper titled Restructuring lattice theory: an approach based on hierarch...
In this work, multivalued contexts are studied, in which the different observations are related to e...
Among the several applications of fuzzy set theory, fuzzy-rule based systems (FRBSs) have proven to ...
The final publication is available at Springer via http://dx.doi.org/10.1007/s10472-014-9397-7In thi...
AbstractThe ambiguity in language is one of the most difficult problems in dealing with word senses ...
A key step towards trustworthy, reliable and explainable, AI is bridging the gap between the quantit...
In this work we provide a short survey of the most frequently used fuzzy reasoning schemes. The pap...
Context adaptation (CA) based on evolutionary algorithms is certainly a promising approach to the de...
Fuzzy rule-based systems (FRBS) use the principle of fuzzy sets and fuzzy logic to describe vague an...
In this work, we consider a complete lattice L and we study L-fuzzy context sequences which represe...
Information extracted from L-fuzzy contexts is substantially improved by taking into account differe...
This paper will delve deeper into the general study of the L-fuzzy contexts associated with criteria...
Sometimes we have to work with L-fuzzy context sequences where one or more values are missing. These...
In the analysis of relations among the elements of two sets it is usual to obtain different values d...
This is an accepted manuscript of an article published by Taylor & Francis in International Journal ...
In 1882 Wille published the paper titled Restructuring lattice theory: an approach based on hierarch...
In this work, multivalued contexts are studied, in which the different observations are related to e...
Among the several applications of fuzzy set theory, fuzzy-rule based systems (FRBSs) have proven to ...
The final publication is available at Springer via http://dx.doi.org/10.1007/s10472-014-9397-7In thi...
AbstractThe ambiguity in language is one of the most difficult problems in dealing with word senses ...
A key step towards trustworthy, reliable and explainable, AI is bridging the gap between the quantit...
In this work we provide a short survey of the most frequently used fuzzy reasoning schemes. The pap...
Context adaptation (CA) based on evolutionary algorithms is certainly a promising approach to the de...
Fuzzy rule-based systems (FRBS) use the principle of fuzzy sets and fuzzy logic to describe vague an...