Recent advances in understanding hereditary spastic paraplegias and emerging therapies

The initial general model is then adapted to the individual current user and can be saved after the interaction for future use when this particular user will interact the next time

We have here all the ingredients of imprecise knowledge: a “faithful customer” is a fuzzy concept; “low” energy value is a linguistic value, which might be modeled as a fuzzy

Zadeh [8] showed that imprecise quantifiers can be defined by using fuzzy sets, and by incorporating them into the language and providing the tools to define their semantics we can

A relevant advantage of combining fuzzy description logics and planning is that it becomes possible to describe the planning domain using formal ontologies for expressing and

– a list of fuzzy clusters which interest the user and their respective documents, – the degree to which each cluster interests the user (its importance for

This paper describes a formalism for representing imprecise knowledge which combines traditional frame-based formalisms with fuzzy logic and fuzzy IF-THEN rules.. Inference in

We obtain rather surprising results: the complexity of concept and knowledge base consistency checking in fuzzy DLs may range from linear-time to EXPTIME-complete, while the

the network architecture; a bp parameter, which enables the use of BP if set to 1, and other parameters like probability values used to define topology, weight distribution and ad