Abstract:
CBR (Case Based Reasoning) is an Artificial
Intelligence methodology that provides the
foundations for technology of intelligent systems.
CBR receives increasing attention within the AI
community.CBR is an analogical reasoning method
providing both a methodology for problem solving
and a cognitive model of people.Case-based
reasoning is a recent approach to problem solving
and learning that has got a lot of attention over the
last few years. A new problem is solved by finding a
similar past case, and reusing it in the new problem
situation. The basic idea o f CBR is similar problem
have similar solutions. The initial purpose of our
system is to develop a case-based system where a
new case could be quickly compared to the numerous
cases in the databases. In our system. we provide the
Abalone (sea ear) datasets to implement the system.
If the user enters the attributes of abalone ,the system
will display the rings of abalone. By adding 1.5 to
the result ,the user will get the age of abalone. The
system uses nearest-neighbor approach for case
retrieval.ID3 algorithm is used in case adaptation.
