Integration of multiple knowledge representation for classification problems

Describes an approach to integrating various knowledge representations for classification problems. Knowledge representation forms have been analyzed: the analysis shows that suitability of representation depends on a given situation. Therefore, a multiple representation form capability and a form conversion capability are necessary to support developing knowledge bases for wide areas of application. A classification problem tool called DECISIONBOX has been developed with the aim of providing experts with an integrated knowledge representation capability. A knowledge base can be represented in a tabular form, a rule form or a tree form, and form conversion can be done at all times. With this integrated representation, an expert is able to build a knowledge base using the most appropriate form