Planning by case-based reasoning based on fuzzy logic
  The treatment of complex systems often requires the manipulation of vague,
imprecise and uncertain information. Indeed, the human being is competent in
handling of such systems in a natural way. Instead of thinking in mathematical
terms, humans describes the behavior of the system by language proposals. In
order to represent this type of information, Zadeh proposed to model the
mechanism of human thought by approximate reasoning based on linguistic
variables. He introduced the theory of fuzzy sets in 1965, which provides an
interface between language and digital worlds. In this paper, we propose a
Boolean modeling of the fuzzy reasoning that we baptized Fuzzy-BML and uses the
characteristics of induction graph classification. Fuzzy-BML is the process by
which the retrieval phase of a CBR is modelled not in the conventional form of
mathematical equations, but in the form of a database with membership functions
of fuzzy rules.
