Abstract
Fuzzy sets are adequate forms of knowledge representation when the
information is uncertain due to vagueness and imprecision. Classical
knowledge elicitation methods can be used in combination with techniques to
develop membership functions. The fuzzy set representation has several
advantages, including flexibility in expressing uncertain knowledge during
elicitation, representation of the knowledge and its uncertainty as a
unique entity, easy interfacing with classical systems, and a more robust
system in ill-defined domains. These advantages result in increased system
reliability. (Autor)