Exploiting Fuzzy-SQL in Case-Based Reasoning  Luigi Portinale
and Andrea Verrua, Universita' del Piemonte Orientale, Italy
The use of database technologies for implementing CBR techniques
is attracting a lot of attention for several reasons. First, the
possibility of using standard DBMS for storing and representing
cases significantly reduces the effort needed to develop a CBR
system; in fact, data of interest are usually already stored
into relational databases and used for different purposes as
well. Finally, the use of standard query languages, like SQL,
may facilitate the introduction of a casebased system into the
real-world, by putting retrieval on the same ground of normal
database queries. Unfortunately, SQL is not able to deal with
queries like those needed in a CBR system, so different
approaches have been tried, in order to build retrieval engines
able to exploit, at the lower level, standard SQL. In this
paper, we present a proposal where case retrieval is implemented
by using a fuzzy version of