Our goal is to identify families of relations that are useful for reasoning about software. We describe such families using decidable quantifier-free classes of logical constraints...
Abstract-- An L-fuzzy context is a triple consisting of a set of objects, a set of attributes and an L-fuzzy binary relation between them. An l-cut is a classical context over the ...
We present a theory of granular parthood based on qualitative cardinality and size measures. Using standard mereological relations and qualitative, contextdependent relations such ...
Currently statistical and artificial neural network methods dominate in data mining applications. Alternative relational (symbolic) data mining methods have shown their effectivene...
The handling of user preferences is becoming an increasingly important issue in present-day information systems. Among others, preferences are used for information filtering and ex...