KNOWLEDGE ACQUISITION TOOL FOR CASE-BASED REASONING SYSTEMS

Knowledge acquisition is an important aspect of intelligent systems. T he usefulness of such systems depends on system completeness and consi stency. Case-based reasoning is a useful means of matching a natural h uman mode of dealing with complex problems through systematic recordin g of experience. However, this approach requires that representative c ase sets be considered in the knowledge acquisition phase, and once th ese case sets have been acquired, an efficient means of retrieving the m is needed. M-CLASS is an ordinal classification model that gives str ucture to a knowledge acquisition environment where cases could be the source of knowledge. The M-CLASS system assures consistency and provi des a means of checking for completeness. The system is demonstrated w ith a medical example.