A fuzzy-ontology-oriented case-based reasoning framework for semantic diabetes diagnosis

Building an integrated CBR system can improve its performance. Representing CBR knowledge using the fuzzy ontology and building a case retrieval algorithm that treats different features differently improves the accuracy of the resulting systems.